Overview

Dataset statistics

Number of variables252
Number of observations474
Missing cells28840
Missing cells (%)24.1%
Total size in memory7.0 MiB
Average record size in memory15.0 KiB

Variable types

Numeric1
Text251

Alerts

selectioncriteria9_prog1 has constant value ""Constant
selectioncriteria10_prog1 has constant value ""Constant
selectioncriteria11_prog1 has constant value ""Constant
selectioncriteria12_prog1 has constant value ""Constant
revealed_prog1 has constant value ""Constant
priority5_prog2 has constant value ""Constant
priority6_prog2 has constant value ""Constant
priority7_prog2 has constant value ""Constant
prefnote_prog2 has constant value ""Constant
selectioncriteria8_prog2 has constant value ""Constant
selectioncriteria9_prog2 has constant value ""Constant
selectioncriteria10_prog2 has constant value ""Constant
selectioncriteria11_prog2 has constant value ""Constant
selectioncriteria12_prog2 has constant value ""Constant
revealed_prog2 has constant value ""Constant
priority3_prog3 has constant value ""Constant
priority5_prog3 has constant value ""Constant
priority6_prog3 has constant value ""Constant
priority7_prog3 has constant value ""Constant
prefnote_prog3 has constant value ""Constant
selectioncriteria6_prog3 has constant value ""Constant
selectioncriteria7_prog3 has constant value ""Constant
selectioncriteria8_prog3 has constant value ""Constant
selectioncriteria9_prog3 has constant value ""Constant
selectioncriteria10_prog3 has constant value ""Constant
selectioncriteria11_prog3 has constant value ""Constant
selectioncriteria12_prog3 has constant value ""Constant
revealed_prog3 has constant value ""Constant
priority1_prog4 has constant value ""Constant
priority2_prog4 has constant value ""Constant
priority3_prog4 has constant value ""Constant
priority4_prog4 has constant value ""Constant
priority5_prog4 has constant value ""Constant
priority6_prog4 has constant value ""Constant
priority7_prog4 has constant value ""Constant
prefnote_prog4 has constant value ""Constant
selectioncriteria6_prog4 has constant value ""Constant
selectioncriteria7_prog4 has constant value ""Constant
selectioncriteria8_prog4 has constant value ""Constant
selectioncriteria9_prog4 has constant value ""Constant
selectioncriteria10_prog4 has constant value ""Constant
selectioncriteria11_prog4 has constant value ""Constant
selectioncriteria12_prog4 has constant value ""Constant
revealed_prog4 has constant value ""Constant
priority1_prog5 has constant value ""Constant
priority2_prog5 has constant value ""Constant
priority3_prog5 has constant value ""Constant
priority4_prog5 has constant value ""Constant
priority5_prog5 has constant value ""Constant
priority6_prog5 has constant value ""Constant
priority7_prog5 has constant value ""Constant
prefnote_prog5 has constant value ""Constant
lowestpriority_prog5 has constant value ""Constant
selectioncriteria1_prog5 has constant value ""Constant
selectioncriteria2_prog5 has constant value ""Constant
selectioncriteria3_prog5 has constant value ""Constant
selectioncriteria4_prog5 has constant value ""Constant
selectioncriteria5_prog5 has constant value ""Constant
selectioncriteria6_prog5 has constant value ""Constant
selectioncriteria7_prog5 has constant value ""Constant
selectioncriteria8_prog5 has constant value ""Constant
selectioncriteria9_prog5 has constant value ""Constant
selectioncriteria10_prog5 has constant value ""Constant
selectioncriteria11_prog5 has constant value ""Constant
selectioncriteria12_prog5 has constant value ""Constant
revealed_prog5 has constant value ""Constant
geapps_prog6 has constant value ""Constant
swdapps_prog6 has constant value ""Constant
geappsperseat_prog6 has constant value ""Constant
swdappsperseat_prog6 has constant value ""Constant
swdseats_prog6 has constant value ""Constant
geseats_prog6 has constant value ""Constant
gefilled_prog6 has constant value ""Constant
swdfilled_prog6 has constant value ""Constant
priority1_prog6 has constant value ""Constant
priority2_prog6 has constant value ""Constant
priority3_prog6 has constant value ""Constant
priority4_prog6 has constant value ""Constant
priority5_prog6 has constant value ""Constant
priority6_prog6 has constant value ""Constant
priority7_prog6 has constant value ""Constant
prefnote_prog6 has constant value ""Constant
lowestpriority_prog6 has constant value ""Constant
selectioncriteria2_prog6 has constant value ""Constant
selectioncriteria3_prog6 has constant value ""Constant
selectioncriteria4_prog6 has constant value ""Constant
selectioncriteria5_prog6 has constant value ""Constant
selectioncriteria6_prog6 has constant value ""Constant
selectioncriteria7_prog6 has constant value ""Constant
selectioncriteria8_prog6 has constant value ""Constant
selectioncriteria9_prog6 has constant value ""Constant
selectioncriteria10_prog6 has constant value ""Constant
selectioncriteria11_prog6 has constant value ""Constant
selectioncriteria12_prog6 has constant value ""Constant
revealed_prog6 has constant value ""Constant
subway has 118 (24.9%) missing valuesMissing
geapps_prog1 has 62 (13.1%) missing valuesMissing
swdapps_prog1 has 62 (13.1%) missing valuesMissing
geappsperseat_prog1 has 61 (12.9%) missing valuesMissing
swdappsperseat_prog1 has 68 (14.3%) missing valuesMissing
swdseats_prog1 has 57 (12.0%) missing valuesMissing
geseats_prog1 has 58 (12.2%) missing valuesMissing
gefilled_prog1 has 50 (10.5%) missing valuesMissing
swdfilled_prog1 has 50 (10.5%) missing valuesMissing
priority1_prog1 has 165 (34.8%) missing valuesMissing
priority2_prog1 has 181 (38.2%) missing valuesMissing
priority3_prog1 has 371 (78.3%) missing valuesMissing
priority4_prog1 has 424 (89.5%) missing valuesMissing
priority5_prog1 has 365 (77.0%) missing valuesMissing
priority6_prog1 has 166 (35.0%) missing valuesMissing
priority7_prog1 has 108 (22.8%) missing valuesMissing
prefnote_prog1 has 199 (42.0%) missing valuesMissing
lowestpriority_prog1 has 184 (38.8%) missing valuesMissing
selectioncriteria1_prog1 has 62 (13.1%) missing valuesMissing
selectioncriteria2_prog1 has 311 (65.6%) missing valuesMissing
selectioncriteria3_prog1 has 313 (66.0%) missing valuesMissing
selectioncriteria4_prog1 has 343 (72.4%) missing valuesMissing
selectioncriteria5_prog1 has 382 (80.6%) missing valuesMissing
selectioncriteria6_prog1 has 445 (93.9%) missing valuesMissing
selectioncriteria7_prog1 has 352 (74.3%) missing valuesMissing
selectioncriteria8_prog1 has 160 (33.8%) missing valuesMissing
code_prog2 has 356 (75.1%) missing valuesMissing
name_prog2 has 356 (75.1%) missing valuesMissing
admissionsmethod_prog2 has 356 (75.1%) missing valuesMissing
geapps_prog2 has 401 (84.6%) missing valuesMissing
swdapps_prog2 has 401 (84.6%) missing valuesMissing
geappsperseat_prog2 has 401 (84.6%) missing valuesMissing
swdappsperseat_prog2 has 401 (84.6%) missing valuesMissing
swdseats_prog2 has 399 (84.2%) missing valuesMissing
geseats_prog2 has 399 (84.2%) missing valuesMissing
gefilled_prog2 has 397 (83.8%) missing valuesMissing
swdfilled_prog2 has 397 (83.8%) missing valuesMissing
eligibility_prog2 has 356 (75.1%) missing valuesMissing
priority1_prog2 has 433 (91.4%) missing valuesMissing
priority2_prog2 has 435 (91.8%) missing valuesMissing
priority3_prog2 has 172 (36.3%) missing valuesMissing
priority4_prog2 has 172 (36.3%) missing valuesMissing
lowestpriority_prog2 has 434 (91.6%) missing valuesMissing
selectioncriteria1_prog2 has 395 (83.3%) missing valuesMissing
selectioncriteria2_prog2 has 376 (79.3%) missing valuesMissing
selectioncriteria3_prog2 has 376 (79.3%) missing valuesMissing
selectioncriteria4_prog2 has 380 (80.2%) missing valuesMissing
selectioncriteria5_prog2 has 297 (62.7%) missing valuesMissing
selectioncriteria6_prog2 has 158 (33.3%) missing valuesMissing
selectioncriteria7_prog2 has 51 (10.8%) missing valuesMissing
code_prog3 has 441 (93.0%) missing valuesMissing
name_prog3 has 441 (93.0%) missing valuesMissing
admissionsmethod_prog3 has 441 (93.0%) missing valuesMissing
geapps_prog3 has 459 (96.8%) missing valuesMissing
swdapps_prog3 has 459 (96.8%) missing valuesMissing
geappsperseat_prog3 has 459 (96.8%) missing valuesMissing
swdappsperseat_prog3 has 459 (96.8%) missing valuesMissing
swdseats_prog3 has 459 (96.8%) missing valuesMissing
geseats_prog3 has 459 (96.8%) missing valuesMissing
gefilled_prog3 has 454 (95.8%) missing valuesMissing
swdfilled_prog3 has 454 (95.8%) missing valuesMissing
eligibility_prog3 has 441 (93.0%) missing valuesMissing
priority1_prog3 has 305 (64.3%) missing valuesMissing
priority2_prog3 has 305 (64.3%) missing valuesMissing
priority4_prog3 has 51 (10.8%) missing valuesMissing
lowestpriority_prog3 has 302 (63.7%) missing valuesMissing
selectioncriteria1_prog3 has 459 (96.8%) missing valuesMissing
selectioncriteria2_prog3 has 284 (59.9%) missing valuesMissing
selectioncriteria3_prog3 has 284 (59.9%) missing valuesMissing
selectioncriteria4_prog3 has 284 (59.9%) missing valuesMissing
selectioncriteria5_prog3 has 194 (40.9%) missing valuesMissing
code_prog4 has 259 (54.6%) missing valuesMissing
name_prog4 has 259 (54.6%) missing valuesMissing
admissionsmethod_prog4 has 259 (54.6%) missing valuesMissing
geapps_prog4 has 194 (40.9%) missing valuesMissing
swdapps_prog4 has 194 (40.9%) missing valuesMissing
geappsperseat_prog4 has 194 (40.9%) missing valuesMissing
swdappsperseat_prog4 has 194 (40.9%) missing valuesMissing
swdseats_prog4 has 194 (40.9%) missing valuesMissing
geseats_prog4 has 194 (40.9%) missing valuesMissing
gefilled_prog4 has 262 (55.3%) missing valuesMissing
swdfilled_prog4 has 262 (55.3%) missing valuesMissing
eligibility_prog4 has 259 (54.6%) missing valuesMissing
lowestpriority_prog4 has 101 (21.3%) missing valuesMissing
selectioncriteria1_prog4 has 193 (40.7%) missing valuesMissing
selectioncriteria2_prog4 has 194 (40.9%) missing valuesMissing
selectioncriteria3_prog4 has 194 (40.9%) missing valuesMissing
selectioncriteria4_prog4 has 194 (40.9%) missing valuesMissing
selectioncriteria5_prog4 has 109 (23.0%) missing valuesMissing
code_prog5 has 194 (40.9%) missing valuesMissing
name_prog5 has 194 (40.9%) missing valuesMissing
admissionsmethod_prog5 has 194 (40.9%) missing valuesMissing
geapps_prog5 has 109 (23.0%) missing valuesMissing
swdapps_prog5 has 109 (23.0%) missing valuesMissing
geappsperseat_prog5 has 109 (23.0%) missing valuesMissing
swdappsperseat_prog5 has 109 (23.0%) missing valuesMissing
swdseats_prog5 has 109 (23.0%) missing valuesMissing
geseats_prog5 has 109 (23.0%) missing valuesMissing
gefilled_prog5 has 109 (23.0%) missing valuesMissing
swdfilled_prog5 has 109 (23.0%) missing valuesMissing
eligibility_prog5 has 194 (40.9%) missing valuesMissing
code_prog6 has 86 (18.1%) missing valuesMissing
name_prog6 has 86 (18.1%) missing valuesMissing
admissionsmethod_prog6 has 86 (18.1%) missing valuesMissing
eligibility_prog6 has 86 (18.1%) missing valuesMissing
selectioncriteria1_prog6 has 86 (18.1%) missing valuesMissing
coursepassrate has 11 (2.3%) missing valuesMissing
elaprof has 10 (2.1%) missing valuesMissing
mathprof has 11 (2.3%) missing valuesMissing
tophs1 has 15 (3.2%) missing valuesMissing
tophs2 has 151 (31.9%) missing valuesMissing
tophs3 has 219 (46.2%) missing valuesMissing
surveysafety has 9 (1.9%) missing valuesMissing
extendedday has 5 (1.1%) missing valuesMissing
languageclasses has 116 (24.5%) missing valuesMissing
acceleratedclasses has 107 (22.6%) missing valuesMissing
electiveclasses has 47 (9.9%) missing valuesMissing
champsboys has 348 (73.4%) missing valuesMissing
champsgirls has 347 (73.2%) missing valuesMissing
champscoed has 152 (32.1%) missing valuesMissing
othersports has 43 (9.1%) missing valuesMissing
0 has unique valuesUnique
schooldbn has unique valuesUnique
printedschoolname has unique valuesUnique
telephone has unique valuesUnique

Reproduction

Analysis started2023-12-09 22:28:09.094250
Analysis finished2023-12-09 22:28:18.892051
Duration9.8 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.5
Minimum1
Maximum474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-09T22:28:19.409013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.65
Q1119.25
median237.5
Q3355.75
95-th percentile450.35
Maximum474
Range473
Interquartile range (IQR)236.5

Descriptive statistics

Standard deviation136.9762753
Coefficient of variation (CV)0.5767422119
Kurtosis-1.2
Mean237.5
Median Absolute Deviation (MAD)118.5
Skewness0
Sum112575
Variance18762.5
MonotonicityStrictly increasing
2023-12-09T22:28:19.571250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
312 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
Other values (464) 464
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
ValueCountFrequency (%)
474 1
0.2%
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
Distinct32
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2023-12-09T22:28:20.116830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.683544304
Min length1

Characters and Unicode

Total characters798
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row5
3rd row5
4th row5
5th row5
ValueCountFrequency (%)
10 27
 
5.7%
9 26
 
5.5%
27 23
 
4.9%
2 23
 
4.9%
11 20
 
4.2%
3 19
 
4.0%
6 19
 
4.0%
29 17
 
3.6%
30 16
 
3.4%
8 16
 
3.4%
Other values (22) 268
56.5%
2023-12-09T22:28:20.524947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 201
25.2%
1 200
25.1%
3 83
10.4%
9 59
 
7.4%
0 58
 
7.3%
7 52
 
6.5%
8 38
 
4.8%
4 38
 
4.8%
5 36
 
4.5%
6 33
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 798
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 201
25.2%
1 200
25.1%
3 83
10.4%
9 59
 
7.4%
0 58
 
7.3%
7 52
 
6.5%
8 38
 
4.8%
4 38
 
4.8%
5 36
 
4.5%
6 33
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Common 798
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 201
25.2%
1 200
25.1%
3 83
10.4%
9 59
 
7.4%
0 58
 
7.3%
7 52
 
6.5%
8 38
 
4.8%
4 38
 
4.8%
5 36
 
4.5%
6 33
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 201
25.2%
1 200
25.1%
3 83
10.4%
9 59
 
7.4%
0 58
 
7.3%
7 52
 
6.5%
8 38
 
4.8%
4 38
 
4.8%
5 36
 
4.5%
6 33
 
4.1%

schooldbn
Text

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.3 KiB
2023-12-09T22:28:20.978719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters2844
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)100.0%

Sample

1st row12X341
2nd row05M046
3rd row05M123
4th row05M129
5th row05M148
ValueCountFrequency (%)
10x228 1
 
0.2%
11x144 1
 
0.2%
06m328 1
 
0.2%
30q286 1
 
0.2%
23k184 1
 
0.2%
07x031 1
 
0.2%
22k890 1
 
0.2%
07x223 1
 
0.2%
07x005 1
 
0.2%
06m293 1
 
0.2%
Other values (464) 464
97.9%
2023-12-09T22:28:21.554433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 429
15.1%
1 393
13.8%
0 380
13.4%
3 252
8.9%
4 168
 
5.9%
8 162
 
5.7%
9 153
 
5.4%
7 148
 
5.2%
5 143
 
5.0%
K 142
 
5.0%
Other values (5) 474
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2370
83.3%
Uppercase Letter 474
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 429
18.1%
1 393
16.6%
0 380
16.0%
3 252
10.6%
4 168
 
7.1%
8 162
 
6.8%
9 153
 
6.5%
7 148
 
6.2%
5 143
 
6.0%
6 142
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
K 142
30.0%
X 117
24.7%
Q 105
22.2%
M 95
20.0%
R 15
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2370
83.3%
Latin 474
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 429
18.1%
1 393
16.6%
0 380
16.0%
3 252
10.6%
4 168
 
7.1%
8 162
 
6.8%
9 153
 
6.5%
7 148
 
6.2%
5 143
 
6.0%
6 142
 
6.0%
Latin
ValueCountFrequency (%)
K 142
30.0%
X 117
24.7%
Q 105
22.2%
M 95
20.0%
R 15
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2844
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 429
15.1%
1 393
13.8%
0 380
13.4%
3 252
8.9%
4 168
 
5.9%
8 162
 
5.7%
9 153
 
5.4%
7 148
 
5.2%
5 143
 
5.0%
K 142
 
5.0%
Other values (5) 474
16.7%

printedschoolname
Text

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size41.4 KiB
2023-12-09T22:28:21.919955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length94
Median length59
Mean length31.01054852
Min length6

Characters and Unicode

Total characters14699
Distinct characters76
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)100.0%

Sample

1st rowAccion Academy
2nd rowP.S./M.S. 46-The Arthur Tappan School
3rd rowP.S. 123 Mahalia Jackson
4th rowP.S. 129 John H. Finley
5th rowEagle Academy for Young Men of Harlem
ValueCountFrequency (%)
school 199
 
8.4%
the 80
 
3.4%
academy 79
 
3.3%
i.s 61
 
2.6%
p.s 61
 
2.6%
for 58
 
2.5%
middle 57
 
2.4%
m.s 46
 
1.9%
of 43
 
1.8%
and 37
 
1.6%
Other values (891) 1641
69.5%
2023-12-09T22:28:22.463602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1884
 
12.8%
e 1053
 
7.2%
o 1017
 
6.9%
a 742
 
5.0%
. 711
 
4.8%
l 684
 
4.7%
S 627
 
4.3%
r 621
 
4.2%
n 595
 
4.0%
i 519
 
3.5%
Other values (66) 6246
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8724
59.4%
Uppercase Letter 2380
 
16.2%
Space Separator 1888
 
12.8%
Other Punctuation 819
 
5.6%
Decimal Number 778
 
5.3%
Open Punctuation 42
 
0.3%
Close Punctuation 42
 
0.3%
Dash Punctuation 23
 
0.2%
Format 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1053
12.1%
o 1017
11.7%
a 742
 
8.5%
l 684
 
7.8%
r 621
 
7.1%
n 595
 
6.8%
i 519
 
5.9%
c 493
 
5.7%
h 464
 
5.3%
d 431
 
4.9%
Other values (16) 2105
24.1%
Uppercase Letter
ValueCountFrequency (%)
S 627
26.3%
M 233
 
9.8%
P 195
 
8.2%
A 183
 
7.7%
I 150
 
6.3%
C 117
 
4.9%
T 107
 
4.5%
H 105
 
4.4%
E 85
 
3.6%
B 83
 
3.5%
Other values (16) 495
20.8%
Decimal Number
ValueCountFrequency (%)
1 141
18.1%
2 129
16.6%
0 99
12.7%
3 80
10.3%
8 70
9.0%
4 61
7.8%
9 57
7.3%
7 54
 
6.9%
5 48
 
6.2%
6 39
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 711
86.8%
/ 58
 
7.1%
& 17
 
2.1%
, 16
 
2.0%
: 10
 
1.2%
' 7
 
0.9%
Space Separator
ValueCountFrequency (%)
1884
99.8%
4
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 18
78.3%
5
 
21.7%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Format
ValueCountFrequency (%)
 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11104
75.5%
Common 3595
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1053
 
9.5%
o 1017
 
9.2%
a 742
 
6.7%
l 684
 
6.2%
S 627
 
5.6%
r 621
 
5.6%
n 595
 
5.4%
i 519
 
4.7%
c 493
 
4.4%
h 464
 
4.2%
Other values (42) 4289
38.6%
Common
ValueCountFrequency (%)
1884
52.4%
. 711
 
19.8%
1 141
 
3.9%
2 129
 
3.6%
0 99
 
2.8%
3 80
 
2.2%
8 70
 
1.9%
4 61
 
1.7%
/ 58
 
1.6%
9 57
 
1.6%
Other values (14) 305
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14687
99.9%
Punctuation 10
 
0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1884
 
12.8%
e 1053
 
7.2%
o 1017
 
6.9%
a 742
 
5.1%
. 711
 
4.8%
l 684
 
4.7%
S 627
 
4.3%
r 621
 
4.2%
n 595
 
4.1%
i 519
 
3.5%
Other values (62) 6234
42.4%
Punctuation
ValueCountFrequency (%)
5
50.0%
4
40.0%
1
 
10.0%
None
ValueCountFrequency (%)
 2
100.0%
Distinct470
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size444.6 KiB
2023-12-09T22:28:22.901544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1807
Median length997
Mean length868.7911392
Min length47

Characters and Unicode

Total characters411807
Distinct characters94
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique469 ?
Unique (%)98.9%

Sample

1st rowAt ACCION Academy, we have a unique opportunity to provide an individualized, warm, and caring environment for our students because our school is just the right size. Serving an average of only 135 students per year, ACCION is less than one-third the size of the average middle school in New York. This means that our compassionate veteran teachers can form meaningful relationships with students and parents on the journey towards success. We can give each child our full attention to ensure they receive whatever services, programs, or activities they need to grow. ACCION stands for "Achievement, Community, Consciousness, Integrity, Opportunity Now!" Our family-oriented school community fosters the highest levels of achievement, mentoring, and service. The student government helps to influence our school's decisions. The CBO we work with is the PHIPPS program. They provide enrichment and recreational activities to promote student autonomy and hands on activity to through role play and problem solving during the after-school program. Furthermore, there are variety of activities including a robotics team, comic book illustration intramural sports, drama, dance, and much more.
2nd rowHere at PS/MS 46-The Arthur Tappan School, our goal is to provide our students with a world-class education. We believe strongly in well-rounded curricula, which go beyond academics and promote the development of the whole child. We work to seamlessly integrate and support each child's social-emotional, physical, and academic needs into everything we do. We believe that in a physically and emotionally safe environment, our students can meet and exceed our high expectations for them.
3rd rowAt our school, students are actively engaged in learning tasks that develop critical thinking and problem-solving skills needed to succeed in college and beyond. We offer project-based learning by incorporating technology and involving students in multimedia presentations. Our staff collaborates to meet the diverse needs of students academically, socially, and emotionally. We partner with outside organizations to provide extracurricular and academic support services. Our curriculum is aligned to the New York State Common Core Standards, makes relevant connections to real-world experiences, and prepares students for college.
4th rowStudents appreciate the special events, high academic expectations, and patient teachers at our school who help them achieve their goals. Our school motto is: "Excellence without excuses." Parents appreciate our small class sizes, open-door policy, and special family events.
5th rowExcellence, both in character and scholarship, opens doors and provides a bridge to equality. Our scholars complete a challenging curriculum and work hard to develop their critical thinking, problem-solving, and questioning skills. Our young men give back to their communities through service opportunities. We prepare our young men for life after middle and high school. We believe that young men are best developed when being supported through uniting the work of dedicated educators, supportive families, and actively engaged mentors. We are focused and committed to the school's guiding principles of Academic Excellence, Mentoring, Leadership, Integrity, Character Development, and Community Service.
ValueCountFrequency (%)
and 3430
 
5.6%
the 2045
 
3.3%
to 1921
 
3.1%
students 1602
 
2.6%
our 1593
 
2.6%
a 1371
 
2.2%
of 1345
 
2.2%
in 1259
 
2.1%
school 1148
 
1.9%
we 929
 
1.5%
Other values (4964) 44504
72.8%
2023-12-09T22:28:23.517068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60673
14.7%
e 38885
 
9.4%
t 28059
 
6.8%
a 26485
 
6.4%
o 25077
 
6.1%
n 24879
 
6.0%
i 24051
 
5.8%
r 22688
 
5.5%
s 22570
 
5.5%
l 15705
 
3.8%
Other values (84) 122735
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 327910
79.6%
Space Separator 60676
 
14.7%
Uppercase Letter 11171
 
2.7%
Other Punctuation 8878
 
2.2%
Decimal Number 1498
 
0.4%
Dash Punctuation 1199
 
0.3%
Close Punctuation 224
 
0.1%
Open Punctuation 220
 
0.1%
Final Punctuation 14
 
< 0.1%
Control 10
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 38885
11.9%
t 28059
 
8.6%
a 26485
 
8.1%
o 25077
 
7.6%
n 24879
 
7.6%
i 24051
 
7.3%
r 22688
 
6.9%
s 22570
 
6.9%
l 15705
 
4.8%
c 14631
 
4.5%
Other values (16) 84880
25.9%
Uppercase Letter
ValueCountFrequency (%)
S 1744
15.6%
A 1111
9.9%
W 809
 
7.2%
T 804
 
7.2%
P 799
 
7.2%
C 793
 
7.1%
M 666
 
6.0%
O 617
 
5.5%
E 591
 
5.3%
I 490
 
4.4%
Other values (16) 2747
24.6%
Other Punctuation
ValueCountFrequency (%)
, 4308
48.5%
. 3714
41.8%
' 301
 
3.4%
: 151
 
1.7%
/ 136
 
1.5%
" 108
 
1.2%
& 50
 
0.6%
! 41
 
0.5%
; 38
 
0.4%
% 26
 
0.3%
Other values (3) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 302
20.2%
2 299
20.0%
0 209
14.0%
8 134
8.9%
3 108
 
7.2%
5 104
 
6.9%
9 100
 
6.7%
6 86
 
5.7%
7 82
 
5.5%
4 74
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1186
98.9%
8
 
0.7%
3
 
0.3%
2
 
0.2%
Control
ValueCountFrequency (%)
’ 3
30.0%
— 3
30.0%
“ 2
20.0%
” 2
20.0%
Space Separator
ValueCountFrequency (%)
60673
> 99.9%
  3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 222
99.1%
] 2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 218
99.1%
[ 2
 
0.9%
Final Punctuation
ValueCountFrequency (%)
12
85.7%
2
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 339081
82.3%
Common 72726
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 38885
11.5%
t 28059
 
8.3%
a 26485
 
7.8%
o 25077
 
7.4%
n 24879
 
7.3%
i 24051
 
7.1%
r 22688
 
6.7%
s 22570
 
6.7%
l 15705
 
4.6%
c 14631
 
4.3%
Other values (42) 96051
28.3%
Common
ValueCountFrequency (%)
60673
83.4%
, 4308
 
5.9%
. 3714
 
5.1%
- 1186
 
1.6%
1 302
 
0.4%
' 301
 
0.4%
2 299
 
0.4%
) 222
 
0.3%
( 218
 
0.3%
0 209
 
0.3%
Other values (32) 1294
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 411764
> 99.9%
Punctuation 30
 
< 0.1%
None 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60673
14.7%
e 38885
 
9.4%
t 28059
 
6.8%
a 26485
 
6.4%
o 25077
 
6.1%
n 24879
 
6.0%
i 24051
 
5.8%
r 22688
 
5.5%
s 22570
 
5.5%
l 15705
 
3.8%
Other values (73) 122692
29.8%
Punctuation
ValueCountFrequency (%)
12
40.0%
8
26.7%
3
 
10.0%
3
 
10.0%
2
 
6.7%
2
 
6.7%
None
ValueCountFrequency (%)
’ 3
23.1%
  3
23.1%
— 3
23.1%
“ 2
15.4%
” 2
15.4%
Distinct190
Distinct (%)40.2%
Missing1
Missing (%)0.2%
Memory size32.8 KiB
2023-12-09T22:28:23.828485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length36
Median length26
Mean length13.5961945
Min length6

Characters and Unicode

Total characters6431
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)17.1%

Sample

1st rowEast Tremont
2nd rowCentral Harlem
3rd rowCentral Harlem
4th rowManhattanville
5th rowCentral Harlem North
ValueCountFrequency (%)
east 68
 
7.7%
heights 37
 
4.2%
park 33
 
3.7%
harlem 24
 
2.7%
village 24
 
2.7%
side 20
 
2.3%
south 18
 
2.0%
gardens 16
 
1.8%
new 15
 
1.7%
west 15
 
1.7%
Other values (198) 612
69.4%
2023-12-09T22:28:24.291255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 552
 
8.6%
a 486
 
7.6%
o 434
 
6.7%
r 432
 
6.7%
t 419
 
6.5%
409
 
6.4%
s 383
 
6.0%
n 369
 
5.7%
l 337
 
5.2%
i 328
 
5.1%
Other values (44) 2282
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4995
77.7%
Uppercase Letter 951
 
14.8%
Space Separator 409
 
6.4%
Dash Punctuation 63
 
1.0%
Other Punctuation 13
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 552
11.1%
a 486
9.7%
o 434
8.7%
r 432
8.6%
t 419
 
8.4%
s 383
 
7.7%
n 369
 
7.4%
l 337
 
6.7%
i 328
 
6.6%
h 181
 
3.6%
Other values (15) 1074
21.5%
Uppercase Letter
ValueCountFrequency (%)
H 121
12.7%
C 101
10.6%
B 94
 
9.9%
S 89
 
9.4%
E 85
 
8.9%
P 58
 
6.1%
M 56
 
5.9%
W 39
 
4.1%
N 36
 
3.8%
G 35
 
3.7%
Other values (14) 237
24.9%
Other Punctuation
ValueCountFrequency (%)
. 11
84.6%
' 1
 
7.7%
/ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5946
92.5%
Common 485
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 552
 
9.3%
a 486
 
8.2%
o 434
 
7.3%
r 432
 
7.3%
t 419
 
7.0%
s 383
 
6.4%
n 369
 
6.2%
l 337
 
5.7%
i 328
 
5.5%
h 181
 
3.0%
Other values (39) 2025
34.1%
Common
ValueCountFrequency (%)
409
84.3%
- 63
 
13.0%
. 11
 
2.3%
' 1
 
0.2%
/ 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 552
 
8.6%
a 486
 
7.6%
o 434
 
6.7%
r 432
 
6.7%
t 419
 
6.5%
409
 
6.4%
s 383
 
6.0%
n 369
 
5.7%
l 337
 
5.2%
i 328
 
5.1%
Other values (44) 2282
35.5%
Distinct413
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size43.7 KiB
2023-12-09T22:28:24.703656image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length53
Median length43
Mean length37.1814346
Min length29

Characters and Unicode

Total characters17624
Distinct characters62
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)75.3%

Sample

1st row977 Fox Street, Bronx NY 10459
2nd row2987 Frederick Douglass Boulevard, Manhattan NY 10039
3rd row301 West 140th Street, Manhattan NY 10030
4th row425 West 130th Street, Manhattan NY 10027
5th row6 Edgecombe Avenue, Manhattan NY 10030
ValueCountFrequency (%)
ny 472
 
15.8%
street 210
 
7.0%
avenue 185
 
6.2%
brooklyn 141
 
4.7%
bronx 117
 
3.9%
queens 105
 
3.5%
manhattan 92
 
3.1%
east 58
 
1.9%
west 45
 
1.5%
road 19
 
0.6%
Other values (857) 1552
51.8%
2023-12-09T22:28:25.248019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2522
 
14.3%
e 1360
 
7.7%
1 1270
 
7.2%
t 1025
 
5.8%
n 931
 
5.3%
0 795
 
4.5%
r 695
 
3.9%
o 610
 
3.5%
a 610
 
3.5%
2 527
 
3.0%
Other values (52) 7279
41.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7709
43.7%
Decimal Number 4464
25.3%
Space Separator 2522
 
14.3%
Uppercase Letter 2345
 
13.3%
Other Punctuation 482
 
2.7%
Dash Punctuation 102
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1360
17.6%
t 1025
13.3%
n 931
12.1%
r 695
9.0%
o 610
7.9%
a 610
7.9%
u 354
 
4.6%
s 327
 
4.2%
h 290
 
3.8%
l 286
 
3.7%
Other values (14) 1221
15.8%
Uppercase Letter
ValueCountFrequency (%)
N 490
20.9%
Y 481
20.5%
B 323
13.8%
S 254
10.8%
A 203
8.7%
M 115
 
4.9%
Q 106
 
4.5%
W 71
 
3.0%
E 65
 
2.8%
R 38
 
1.6%
Other values (13) 199
8.5%
Decimal Number
ValueCountFrequency (%)
1 1270
28.4%
0 795
17.8%
2 527
11.8%
4 389
 
8.7%
3 365
 
8.2%
5 351
 
7.9%
6 250
 
5.6%
7 213
 
4.8%
8 159
 
3.6%
9 145
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 479
99.4%
' 2
 
0.4%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10054
57.0%
Common 7570
43.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1360
13.5%
t 1025
 
10.2%
n 931
 
9.3%
r 695
 
6.9%
o 610
 
6.1%
a 610
 
6.1%
N 490
 
4.9%
Y 481
 
4.8%
u 354
 
3.5%
s 327
 
3.3%
Other values (37) 3171
31.5%
Common
ValueCountFrequency (%)
2522
33.3%
1 1270
16.8%
0 795
 
10.5%
2 527
 
7.0%
, 479
 
6.3%
4 389
 
5.1%
3 365
 
4.8%
5 351
 
4.6%
6 250
 
3.3%
7 213
 
2.8%
Other values (5) 409
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2522
 
14.3%
e 1360
 
7.7%
1 1270
 
7.2%
t 1025
 
5.8%
n 931
 
5.3%
0 795
 
4.5%
r 695
 
3.9%
o 610
 
3.5%
a 610
 
3.5%
2 527
 
3.0%
Other values (52) 7279
41.3%
Distinct96
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size30.2 KiB
2023-12-09T22:28:25.621651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length50
Median length42
Mean length7.225738397
Min length2

Characters and Unicode

Total characters3425
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)15.6%

Sample

1st rowYes-12X044, 12X341
2nd rowNo
3rd rowYes-05M123, 84M482
4th rowNo
5th rowYes-05M148, 05M302, 05M304
ValueCountFrequency (%)
yes 188
29.0%
no 173
26.7%
17k537 2
 
0.3%
23k671 2
 
0.3%
yes-06m319 2
 
0.3%
06m324 2
 
0.3%
84m068 2
 
0.3%
yes-07x224 2
 
0.3%
07x334 2
 
0.3%
07x343 2
 
0.3%
Other values (218) 271
41.8%
2023-12-09T22:28:26.115387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 301
 
8.8%
s 301
 
8.8%
e 301
 
8.8%
2 247
 
7.2%
1 184
 
5.4%
174
 
5.1%
N 173
 
5.1%
o 173
 
5.1%
, 172
 
5.0%
3 170
 
5.0%
Other values (15) 1229
35.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1430
41.8%
Lowercase Letter 775
22.6%
Uppercase Letter 760
22.2%
Space Separator 174
 
5.1%
Other Punctuation 172
 
5.0%
Dash Punctuation 114
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 247
17.3%
1 184
12.9%
3 170
11.9%
0 157
11.0%
7 152
10.6%
4 140
9.8%
8 106
7.4%
5 105
7.3%
6 101
7.1%
9 68
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
Y 301
39.6%
N 173
22.8%
K 104
 
13.7%
X 74
 
9.7%
Q 54
 
7.1%
M 41
 
5.4%
R 13
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
s 301
38.8%
e 301
38.8%
o 173
22.3%
Dash Punctuation
ValueCountFrequency (%)
- 107
93.9%
5
 
4.4%
2
 
1.8%
Space Separator
ValueCountFrequency (%)
174
100.0%
Other Punctuation
ValueCountFrequency (%)
, 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1890
55.2%
Latin 1535
44.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 247
13.1%
1 184
9.7%
174
9.2%
, 172
9.1%
3 170
9.0%
0 157
8.3%
7 152
8.0%
4 140
7.4%
- 107
 
5.7%
8 106
 
5.6%
Other values (5) 281
14.9%
Latin
ValueCountFrequency (%)
Y 301
19.6%
s 301
19.6%
e 301
19.6%
N 173
11.3%
o 173
11.3%
K 104
 
6.8%
X 74
 
4.8%
Q 54
 
3.5%
M 41
 
2.7%
R 13
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3418
99.8%
Punctuation 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 301
 
8.8%
s 301
 
8.8%
e 301
 
8.8%
2 247
 
7.2%
1 184
 
5.4%
174
 
5.1%
N 173
 
5.1%
o 173
 
5.1%
, 172
 
5.0%
3 170
 
5.0%
Other values (13) 1222
35.8%
Punctuation
ValueCountFrequency (%)
5
71.4%
2
 
28.6%
Distinct6
Distinct (%)1.3%
Missing1
Missing (%)0.2%
Memory size34.2 KiB
2023-12-09T22:28:26.300209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length20
Median length16
Mean length16.48625793
Min length10

Characters and Unicode

Total characters7798
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st rowNot Accessible
2nd rowNot Accessible
3rd rowNot Accessible
4th rowNot Accessible
5th rowNot Accessible
ValueCountFrequency (%)
accessible 472
50.2%
not 205
21.8%
partially 169
 
18.0%
fully 92
 
9.8%
not 1
 
0.1%
accessible 1
 
0.1%
2023-12-09T22:28:26.593719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 995
12.8%
c 946
12.1%
e 946
12.1%
s 946
12.1%
i 642
8.2%
b 473
 
6.1%
A 473
 
6.1%
467
 
6.0%
t 375
 
4.8%
a 338
 
4.3%
Other values (8) 1197
15.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6389
81.9%
Uppercase Letter 940
 
12.1%
Space Separator 467
 
6.0%
Format 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 995
15.6%
c 946
14.8%
e 946
14.8%
s 946
14.8%
i 642
10.0%
b 473
7.4%
t 375
 
5.9%
a 338
 
5.3%
y 261
 
4.1%
o 206
 
3.2%
Other values (2) 261
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 473
50.3%
N 206
21.9%
P 169
 
18.0%
F 92
 
9.8%
Space Separator
ValueCountFrequency (%)
467
100.0%
Format
ValueCountFrequency (%)
 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7329
94.0%
Common 469
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 995
13.6%
c 946
12.9%
e 946
12.9%
s 946
12.9%
i 642
8.8%
b 473
6.5%
A 473
6.5%
t 375
 
5.1%
a 338
 
4.6%
y 261
 
3.6%
Other values (6) 934
12.7%
Common
ValueCountFrequency (%)
467
99.6%
 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7796
> 99.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 995
12.8%
c 946
12.1%
e 946
12.1%
s 946
12.1%
i 642
8.2%
b 473
 
6.1%
A 473
 
6.1%
467
 
6.0%
t 375
 
4.8%
a 338
 
4.3%
Other values (7) 1195
15.3%
None
ValueCountFrequency (%)
 2
100.0%

telephone
Text

UNIQUE 

Distinct474
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
2023-12-09T22:28:26.904480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length12
Mean length12.05274262
Min length12

Characters and Unicode

Total characters5713
Distinct characters20
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)100.0%

Sample

1st row718-294-0514
2nd row212-360-1519
3rd row212-342-6200
4th row212-690-5932
5th row212-694-6001
ValueCountFrequency (%)
ext 2
 
0.4%
718-468-6420 1
 
0.2%
718-760-3233 1
 
0.2%
212-722-6507 1
 
0.2%
718-822-5351 1
 
0.2%
718-647-0913 1
 
0.2%
718-293-9048 1
 
0.2%
718-583-6266 1
 
0.2%
718-639-3817 1
 
0.2%
718-335-7500 1
 
0.2%
Other values (470) 470
97.7%
2023-12-09T22:28:27.347852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 945
16.5%
1 720
12.6%
8 712
12.5%
7 669
11.7%
2 540
9.5%
0 459
8.0%
4 363
 
6.4%
6 359
 
6.3%
5 332
 
5.8%
3 329
 
5.8%
Other values (10) 285
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4747
83.1%
Dash Punctuation 945
 
16.5%
Space Separator 7
 
0.1%
Lowercase Letter 6
 
0.1%
Format 3
 
0.1%
Other Punctuation 3
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 720
15.2%
8 712
15.0%
7 669
14.1%
2 540
11.4%
0 459
9.7%
4 363
7.6%
6 359
7.6%
5 332
7.0%
3 329
6.9%
9 264
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
x 2
33.3%
t 2
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 945
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Format
ValueCountFrequency (%)
 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5707
99.9%
Latin 6
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 945
16.6%
1 720
12.6%
8 712
12.5%
7 669
11.7%
2 540
9.5%
0 459
8.0%
4 363
 
6.4%
6 359
 
6.3%
5 332
 
5.8%
3 329
 
5.8%
Other values (7) 279
 
4.9%
Latin
ValueCountFrequency (%)
e 2
33.3%
x 2
33.3%
t 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5710
99.9%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 945
16.5%
1 720
12.6%
8 712
12.5%
7 669
11.7%
2 540
9.5%
0 459
8.0%
4 363
 
6.4%
6 359
 
6.3%
5 332
 
5.8%
3 329
 
5.8%
Other values (9) 282
 
4.9%
None
ValueCountFrequency (%)
 3
100.0%
Distinct322
Distinct (%)68.1%
Missing1
Missing (%)0.2%
Memory size35.7 KiB
2023-12-09T22:28:27.776051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length65
Median length40
Mean length19.91120507
Min length7

Characters and Unicode

Total characters9418
Distinct characters60
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique321 ?
Unique (%)67.9%

Sample

1st rowwww.accionacademy.com
2nd rowschools.nyc.gov/Find-a-School
3rd rowps123.org
4th rowschools.nyc.gov/Find-a-School
5th roweagleharlem.org
ValueCountFrequency (%)
schools.nyc.gov/find-a-school 152
31.7%
ms101_bronx 2
 
0.4%
is217.org 1
 
0.2%
queenscollegiate.wordpress.com 1
 
0.2%
www.is151.org 1
 
0.2%
wadleigharts.org 1
 
0.2%
ms223.org 1
 
0.2%
libertyavems.com 1
 
0.2%
ms88.org 1
 
0.2%
ps95bk.org 1
 
0.2%
Other values (317) 317
66.2%
2023-12-09T22:28:28.653685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1279
 
13.6%
. 705
 
7.5%
c 684
 
7.3%
s 655
 
7.0%
l 480
 
5.1%
n 477
 
5.1%
g 416
 
4.4%
h 406
 
4.3%
r 365
 
3.9%
a 360
 
3.8%
Other values (50) 3591
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7325
77.8%
Other Punctuation 882
 
9.4%
Decimal Number 521
 
5.5%
Uppercase Letter 360
 
3.8%
Dash Punctuation 322
 
3.4%
Space Separator 6
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1279
17.5%
c 684
 
9.3%
s 655
 
8.9%
l 480
 
6.6%
n 477
 
6.5%
g 416
 
5.7%
h 406
 
5.5%
r 365
 
5.0%
a 360
 
4.9%
i 318
 
4.3%
Other values (15) 1885
25.7%
Uppercase Letter
ValueCountFrequency (%)
S 165
45.8%
F 153
42.5%
M 10
 
2.8%
I 5
 
1.4%
C 4
 
1.1%
A 4
 
1.1%
B 4
 
1.1%
T 3
 
0.8%
P 2
 
0.6%
G 2
 
0.6%
Other values (7) 8
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 104
20.0%
2 88
16.9%
3 59
11.3%
8 51
9.8%
4 47
9.0%
6 43
8.3%
7 37
 
7.1%
9 35
 
6.7%
5 34
 
6.5%
0 23
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 705
79.9%
/ 173
 
19.6%
: 2
 
0.2%
@ 1
 
0.1%
& 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7685
81.6%
Common 1733
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1279
16.6%
c 684
 
8.9%
s 655
 
8.5%
l 480
 
6.2%
n 477
 
6.2%
g 416
 
5.4%
h 406
 
5.3%
r 365
 
4.7%
a 360
 
4.7%
i 318
 
4.1%
Other values (32) 2245
29.2%
Common
ValueCountFrequency (%)
. 705
40.7%
- 322
18.6%
/ 173
 
10.0%
1 104
 
6.0%
2 88
 
5.1%
3 59
 
3.4%
8 51
 
2.9%
4 47
 
2.7%
6 43
 
2.5%
7 37
 
2.1%
Other values (8) 104
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1279
 
13.6%
. 705
 
7.5%
c 684
 
7.3%
s 655
 
7.0%
l 480
 
5.1%
n 477
 
5.1%
g 416
 
4.4%
h 406
 
4.3%
r 365
 
3.9%
a 360
 
3.8%
Other values (50) 3591
38.1%

subway
Text

MISSING 

Distinct266
Distinct (%)74.7%
Missing118
Missing (%)24.9%
Memory size37.0 KiB
2023-12-09T22:28:28.965668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length187
Median length87
Mean length38.26404494
Min length7

Characters and Unicode

Total characters13622
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)55.6%

Sample

1st row2, 5 to 174th St
2nd rowB, C, D to 155th St; 1 to 157th St
3rd row3, A, D to 145th St; 2, B, C to 135th St; 1 to 137th St - City College
4th row1, A, B, C, D to 125th St
5th rowA, D to 125th St; 2, 3, B, C to 135th St; 1 to 137th St - City College
ValueCountFrequency (%)
to 621
 
18.6%
st 282
 
8.5%
ave 208
 
6.2%
b 93
 
2.8%
2 89
 
2.7%
82
 
2.5%
5 80
 
2.4%
d 79
 
2.4%
c 75
 
2.3%
a 72
 
2.2%
Other values (356) 1649
49.5%
2023-12-09T22:28:29.465292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2974
21.8%
t 1497
 
11.0%
o 946
 
6.9%
e 613
 
4.5%
, 499
 
3.7%
a 441
 
3.2%
S 410
 
3.0%
r 401
 
2.9%
h 334
 
2.5%
n 319
 
2.3%
Other values (58) 5188
38.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6454
47.4%
Space Separator 2974
21.8%
Uppercase Letter 2018
 
14.8%
Decimal Number 1212
 
8.9%
Other Punctuation 773
 
5.7%
Dash Punctuation 190
 
1.4%
Control 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1497
23.2%
o 946
14.7%
e 613
9.5%
a 441
 
6.8%
r 401
 
6.2%
h 334
 
5.2%
n 319
 
4.9%
s 272
 
4.2%
v 259
 
4.0%
l 202
 
3.1%
Other values (15) 1170
18.1%
Uppercase Letter
ValueCountFrequency (%)
S 410
20.3%
A 317
15.7%
B 182
 
9.0%
C 161
 
8.0%
D 104
 
5.2%
F 89
 
4.4%
R 81
 
4.0%
M 76
 
3.8%
N 70
 
3.5%
P 67
 
3.3%
Other values (15) 461
22.8%
Decimal Number
ValueCountFrequency (%)
1 297
24.5%
2 161
13.3%
5 145
12.0%
3 134
11.1%
4 128
10.6%
6 126
10.4%
7 77
 
6.4%
8 54
 
4.5%
0 45
 
3.7%
9 45
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 499
64.6%
; 267
34.5%
& 3
 
0.4%
. 2
 
0.3%
/ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
2974
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Control
ValueCountFrequency (%)
— 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8472
62.2%
Common 5150
37.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1497
17.7%
o 946
 
11.2%
e 613
 
7.2%
a 441
 
5.2%
S 410
 
4.8%
r 401
 
4.7%
h 334
 
3.9%
n 319
 
3.8%
A 317
 
3.7%
s 272
 
3.2%
Other values (40) 2922
34.5%
Common
ValueCountFrequency (%)
2974
57.7%
, 499
 
9.7%
1 297
 
5.8%
; 267
 
5.2%
- 190
 
3.7%
2 161
 
3.1%
5 145
 
2.8%
3 134
 
2.6%
4 128
 
2.5%
6 126
 
2.4%
Other values (8) 229
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13621
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2974
21.8%
t 1497
 
11.0%
o 946
 
6.9%
e 613
 
4.5%
, 499
 
3.7%
a 441
 
3.2%
S 410
 
3.0%
r 401
 
2.9%
h 334
 
2.5%
n 319
 
2.3%
Other values (57) 5187
38.1%
None
ValueCountFrequency (%)
— 1
100.0%

bus
Text

Distinct385
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
2023-12-09T22:28:29.983910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length93
Mean length49.66455696
Min length2

Characters and Unicode

Total characters23541
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)65.0%

Sample

1st rowBx15, Bx17, Bx19, Bx21, Bx36, Bx40, Bx42, Bx9
2nd rowBx13, Bx6, M10, M100, M101, M2, M3, M4, M5
3rd rowBx19, Bx33, M1, M10, M100, M101, M102, M11, M2, M3, M4, M5, M7
4th rowBx15, Bx33, M10, M100, M101, M104, M11, M2, M3, M4, M5, M60-SBS
5th rowBx19, Bx33, M1, M10, M100, M101, M102, M104, M11, M2, M3, M4, M5, M7
ValueCountFrequency (%)
bx15 62
 
1.4%
m101 55
 
1.2%
m3 52
 
1.2%
bx41 51
 
1.1%
bx2 50
 
1.1%
bxm4 50
 
1.1%
bx41-sbs 49
 
1.1%
bx1 48
 
1.1%
m5 47
 
1.0%
bx32 45
 
1.0%
Other values (320) 3998
88.7%
2023-12-09T22:28:30.679791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 4038
17.2%
4033
17.1%
B 2482
10.5%
1 1933
8.2%
M 1387
 
5.9%
x 1273
 
5.4%
4 1079
 
4.6%
2 1027
 
4.4%
Q 895
 
3.8%
3 869
 
3.7%
Other values (13) 4525
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8174
34.7%
Uppercase Letter 5811
24.7%
Other Punctuation 4039
17.2%
Space Separator 4033
17.1%
Lowercase Letter 1273
 
5.4%
Dash Punctuation 211
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1933
23.6%
4 1079
13.2%
2 1027
12.6%
3 869
10.6%
5 674
 
8.2%
6 666
 
8.1%
0 652
 
8.0%
7 476
 
5.8%
8 470
 
5.7%
9 328
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 2482
42.7%
M 1387
23.9%
Q 895
 
15.4%
S 533
 
9.2%
X 412
 
7.1%
A 77
 
1.3%
D 19
 
0.3%
J 6
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 4038
> 99.9%
: 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
4033
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 211
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16457
69.9%
Latin 7084
30.1%

Most frequent character per script

Common
ValueCountFrequency (%)
, 4038
24.5%
4033
24.5%
1 1933
11.7%
4 1079
 
6.6%
2 1027
 
6.2%
3 869
 
5.3%
5 674
 
4.1%
6 666
 
4.0%
0 652
 
4.0%
7 476
 
2.9%
Other values (4) 1010
 
6.1%
Latin
ValueCountFrequency (%)
B 2482
35.0%
M 1387
19.6%
x 1273
18.0%
Q 895
 
12.6%
S 533
 
7.5%
X 412
 
5.8%
A 77
 
1.1%
D 19
 
0.3%
J 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 4038
17.2%
4033
17.1%
B 2482
10.5%
1 1933
8.2%
M 1387
 
5.9%
x 1273
 
5.4%
4 1079
 
4.6%
2 1027
 
4.4%
Q 895
 
3.8%
3 869
 
3.7%
Other values (13) 4525
19.2%
Distinct472
Distinct (%)99.8%
Missing1
Missing (%)0.2%
Memory size28.8 KiB
2023-12-09T22:28:31.144585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.042283298
Min length5

Characters and Unicode

Total characters2385
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique471 ?
Unique (%)99.6%

Sample

1st rowX341U
2nd rowM046L
3rd rowM123L
4th rowM129L
5th rowM148L
ValueCountFrequency (%)
talent 2
 
0.4%
programs 2
 
0.4%
m610m 1
 
0.2%
m129l 1
 
0.2%
m180s 1
 
0.2%
x566u 1
 
0.2%
k207u 1
 
0.2%
x101a 1
 
0.2%
x328l 1
 
0.2%
m286l 1
 
0.2%
Other values (463) 463
97.5%
2023-12-09T22:28:31.711969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 226
 
9.5%
1 193
 
8.1%
M 187
 
7.8%
0 170
 
7.1%
3 167
 
7.0%
U 154
 
6.5%
K 140
 
5.9%
4 130
 
5.5%
8 123
 
5.2%
X 117
 
4.9%
Other values (24) 778
32.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1413
59.2%
Uppercase Letter 946
39.7%
Lowercase Letter 24
 
1.0%
Space Separator 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 187
19.8%
U 154
16.3%
K 140
14.8%
X 117
12.4%
Q 104
11.0%
L 85
9.0%
S 54
 
5.7%
A 42
 
4.4%
Z 41
 
4.3%
R 16
 
1.7%
Other values (3) 6
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 226
16.0%
1 193
13.7%
0 170
12.0%
3 167
11.8%
4 130
9.2%
8 123
8.7%
6 110
7.8%
5 106
7.5%
7 96
6.8%
9 92
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
16.7%
r 4
16.7%
s 2
8.3%
m 2
8.3%
g 2
8.3%
o 2
8.3%
t 2
8.3%
n 2
8.3%
e 2
8.3%
l 2
8.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1415
59.3%
Latin 970
40.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 187
19.3%
U 154
15.9%
K 140
14.4%
X 117
12.1%
Q 104
10.7%
L 85
8.8%
S 54
 
5.6%
A 42
 
4.3%
Z 41
 
4.2%
R 16
 
1.6%
Other values (13) 30
 
3.1%
Common
ValueCountFrequency (%)
2 226
16.0%
1 193
13.6%
0 170
12.0%
3 167
11.8%
4 130
9.2%
8 123
8.7%
6 110
7.8%
5 106
7.5%
7 96
6.8%
9 92
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 226
 
9.5%
1 193
 
8.1%
M 187
 
7.8%
0 170
 
7.1%
3 167
 
7.0%
U 154
 
6.5%
K 140
 
5.9%
4 130
 
5.5%
8 123
 
5.2%
X 117
 
4.9%
Other values (24) 778
32.6%
Distinct453
Distinct (%)96.0%
Missing2
Missing (%)0.4%
Memory size42.1 KiB
2023-12-09T22:28:32.078317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length76
Median length58
Mean length34.02754237
Min length4

Characters and Unicode

Total characters16061
Distinct characters74
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique446 ?
Unique (%)94.5%

Sample

1st rowACCION Academy
2nd rowP.S./M.S. 46 - The Arthur Tappan School
3rd rowMahalia Jackson (P.S./M.S. 123)
4th rowJohn H. Finley (P.S./M.S. 129)
5th rowEagle Academy for Young Men of Harlem
ValueCountFrequency (%)
school 194
 
8.0%
the 99
 
4.1%
academy 84
 
3.5%
program 81
 
3.3%
for 65
 
2.7%
middle 53
 
2.2%
of 46
 
1.9%
i.s 45
 
1.9%
m.s 45
 
1.9%
and 40
 
1.6%
Other values (812) 1675
69.0%
2023-12-09T22:28:32.623397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1955
 
12.2%
e 1163
 
7.2%
o 1106
 
6.9%
a 915
 
5.7%
r 777
 
4.8%
n 740
 
4.6%
l 685
 
4.3%
S 618
 
3.8%
i 576
 
3.6%
. 570
 
3.5%
Other values (64) 6956
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9985
62.2%
Uppercase Letter 2494
 
15.5%
Space Separator 1955
 
12.2%
Other Punctuation 716
 
4.5%
Decimal Number 574
 
3.6%
Open Punctuation 163
 
1.0%
Close Punctuation 163
 
1.0%
Dash Punctuation 10
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1163
11.6%
o 1106
11.1%
a 915
 
9.2%
r 777
 
7.8%
n 740
 
7.4%
l 685
 
6.9%
i 576
 
5.8%
c 519
 
5.2%
t 518
 
5.2%
h 490
 
4.9%
Other values (16) 2496
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 618
24.8%
P 252
10.1%
M 238
 
9.5%
A 202
 
8.1%
I 147
 
5.9%
T 135
 
5.4%
C 124
 
5.0%
L 102
 
4.1%
E 88
 
3.5%
H 77
 
3.1%
Other values (16) 511
20.5%
Decimal Number
ValueCountFrequency (%)
1 107
18.6%
2 104
18.1%
8 61
10.6%
3 55
9.6%
9 45
7.8%
4 44
7.7%
7 43
7.5%
5 41
 
7.1%
6 39
 
6.8%
0 35
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 570
79.6%
/ 68
 
9.5%
& 22
 
3.1%
: 20
 
2.8%
, 18
 
2.5%
' 16
 
2.2%
@ 2
 
0.3%
Space Separator
ValueCountFrequency (%)
1955
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12479
77.7%
Common 3582
 
22.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1163
 
9.3%
o 1106
 
8.9%
a 915
 
7.3%
r 777
 
6.2%
n 740
 
5.9%
l 685
 
5.5%
S 618
 
5.0%
i 576
 
4.6%
c 519
 
4.2%
t 518
 
4.2%
Other values (42) 4862
39.0%
Common
ValueCountFrequency (%)
1955
54.6%
. 570
 
15.9%
( 163
 
4.6%
) 163
 
4.6%
1 107
 
3.0%
2 104
 
2.9%
/ 68
 
1.9%
8 61
 
1.7%
3 55
 
1.5%
9 45
 
1.3%
Other values (12) 291
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1955
 
12.2%
e 1163
 
7.2%
o 1106
 
6.9%
a 915
 
5.7%
r 777
 
4.8%
n 740
 
4.6%
l 685
 
4.3%
S 618
 
3.8%
i 576
 
3.6%
. 570
 
3.5%
Other values (64) 6956
43.3%
Distinct9
Distinct (%)1.9%
Missing1
Missing (%)0.2%
Memory size30.9 KiB
2023-12-09T22:28:32.819849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.465116279
Min length4

Characters and Unicode

Total characters4477
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st rowOpen
2nd rowLimited Unscreened
3rd rowLimited Unscreened
4th rowLimited Unscreened
5th rowLimited Unscreened
ValueCountFrequency (%)
open 164
25.9%
screened 138
21.8%
unscreened 86
13.6%
limited 85
13.4%
composite 42
 
6.6%
score 42
 
6.6%
zoned 41
 
6.5%
language 32
 
5.0%
talent 2
 
0.3%
test 2
 
0.3%
2023-12-09T22:28:33.137622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1082
24.2%
n 549
12.3%
d 350
 
7.8%
c 266
 
5.9%
r 266
 
5.9%
i 212
 
4.7%
p 206
 
4.6%
S 180
 
4.0%
o 168
 
3.8%
O 163
 
3.6%
Other values (14) 1035
23.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3651
81.6%
Uppercase Letter 633
 
14.1%
Space Separator 161
 
3.6%
Other Punctuation 32
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1082
29.6%
n 549
15.0%
d 350
 
9.6%
c 266
 
7.3%
r 266
 
7.3%
i 212
 
5.8%
p 206
 
5.6%
o 168
 
4.6%
t 131
 
3.6%
s 130
 
3.6%
Other values (5) 291
 
8.0%
Uppercase Letter
ValueCountFrequency (%)
S 180
28.4%
O 163
25.8%
L 117
18.5%
U 86
13.6%
C 42
 
6.6%
Z 41
 
6.5%
T 4
 
0.6%
Space Separator
ValueCountFrequency (%)
161
100.0%
Other Punctuation
ValueCountFrequency (%)
: 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4284
95.7%
Common 193
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1082
25.3%
n 549
12.8%
d 350
 
8.2%
c 266
 
6.2%
r 266
 
6.2%
i 212
 
4.9%
p 206
 
4.8%
S 180
 
4.2%
o 168
 
3.9%
O 163
 
3.8%
Other values (12) 842
19.7%
Common
ValueCountFrequency (%)
161
83.4%
: 32
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4477
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1082
24.2%
n 549
12.3%
d 350
 
7.8%
c 266
 
5.9%
r 266
 
5.9%
i 212
 
4.7%
p 206
 
4.6%
S 180
 
4.0%
o 168
 
3.8%
O 163
 
3.6%
Other values (14) 1035
23.1%

geapps_prog1
Text

MISSING 

Distinct309
Distinct (%)75.0%
Missing62
Missing (%)13.1%
Memory size26.2 KiB
2023-12-09T22:28:33.638012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.084951456
Min length2

Characters and Unicode

Total characters1271
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)55.6%

Sample

1st row218
2nd row97
3rd row150
4th row79
5th row195
ValueCountFrequency (%)
214 4
 
1.0%
151 4
 
1.0%
198 4
 
1.0%
155 3
 
0.7%
126 3
 
0.7%
146 3
 
0.7%
381 3
 
0.7%
147 3
 
0.7%
students 3
 
0.7%
continuing 3
 
0.7%
Other values (300) 382
92.0%
2023-12-09T22:28:34.273950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 205
16.1%
2 168
13.2%
3 151
11.9%
4 122
9.6%
5 121
9.5%
8 104
8.2%
6 99
7.8%
9 87
6.8%
7 85
6.7%
0 72
 
5.7%
Other values (12) 57
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1214
95.5%
Lowercase Letter 48
 
3.8%
Uppercase Letter 6
 
0.5%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 205
16.9%
2 168
13.8%
3 151
12.4%
4 122
10.0%
5 121
10.0%
8 104
8.6%
6 99
8.2%
9 87
7.2%
7 85
7.0%
0 72
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
n 12
25.0%
t 9
18.8%
i 6
12.5%
u 6
12.5%
o 3
 
6.2%
g 3
 
6.2%
d 3
 
6.2%
e 3
 
6.2%
s 3
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
S 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1217
95.8%
Latin 54
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 205
16.8%
2 168
13.8%
3 151
12.4%
4 122
10.0%
5 121
9.9%
8 104
8.5%
6 99
8.1%
9 87
7.1%
7 85
7.0%
0 72
 
5.9%
Latin
ValueCountFrequency (%)
n 12
22.2%
t 9
16.7%
i 6
11.1%
u 6
11.1%
o 3
 
5.6%
C 3
 
5.6%
g 3
 
5.6%
S 3
 
5.6%
d 3
 
5.6%
e 3
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 205
16.1%
2 168
13.2%
3 151
11.9%
4 122
9.6%
5 121
9.5%
8 104
8.2%
6 99
7.8%
9 87
6.8%
7 85
6.7%
0 72
 
5.7%
Other values (12) 57
 
4.5%

swdapps_prog1
Text

MISSING 

Distinct153
Distinct (%)37.1%
Missing62
Missing (%)13.1%
Memory size25.9 KiB
2023-12-09T22:28:34.704123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length2
Mean length2.337378641
Min length1

Characters and Unicode

Total characters963
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)14.8%

Sample

1st row40
2nd row34
3rd row54
4th row47
5th row93
ValueCountFrequency (%)
60 11
 
2.7%
87 9
 
2.2%
47 8
 
1.9%
58 8
 
1.9%
68 8
 
1.9%
34 7
 
1.7%
42 7
 
1.7%
27 7
 
1.7%
59 7
 
1.7%
71 6
 
1.4%
Other values (144) 337
81.2%
2023-12-09T22:28:35.252378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 153
15.9%
2 97
10.1%
6 95
9.9%
4 91
9.4%
7 89
9.2%
5 89
9.2%
3 86
8.9%
8 77
8.0%
9 66
6.9%
0 63
6.5%
Other values (12) 57
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 906
94.1%
Lowercase Letter 48
 
5.0%
Uppercase Letter 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 153
16.9%
2 97
10.7%
6 95
10.5%
4 91
10.0%
7 89
9.8%
5 89
9.8%
3 86
9.5%
8 77
8.5%
9 66
7.3%
0 63
7.0%
Lowercase Letter
ValueCountFrequency (%)
n 12
25.0%
t 9
18.8%
i 6
12.5%
u 6
12.5%
e 3
 
6.2%
d 3
 
6.2%
o 3
 
6.2%
g 3
 
6.2%
s 3
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
C 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 909
94.4%
Latin 54
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 153
16.8%
2 97
10.7%
6 95
10.5%
4 91
10.0%
7 89
9.8%
5 89
9.8%
3 86
9.5%
8 77
8.5%
9 66
7.3%
0 63
6.9%
Latin
ValueCountFrequency (%)
n 12
22.2%
t 9
16.7%
i 6
11.1%
u 6
11.1%
S 3
 
5.6%
e 3
 
5.6%
d 3
 
5.6%
o 3
 
5.6%
g 3
 
5.6%
C 3
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 153
15.9%
2 97
10.1%
6 95
9.9%
4 91
9.4%
7 89
9.2%
5 89
9.2%
3 86
8.9%
8 77
8.0%
9 66
6.9%
0 63
6.5%
Other values (12) 57
 
5.9%

geappsperseat_prog1
Text

MISSING 

Distinct34
Distinct (%)8.2%
Missing61
Missing (%)12.9%
Memory size25.5 KiB
2023-12-09T22:28:35.460014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length1
Mean length1.288135593
Min length1

Characters and Unicode

Total characters532
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)2.9%

Sample

1st row3
2nd row2
3rd row3
4th row1
5th row3
ValueCountFrequency (%)
3 77
18.5%
2 73
17.5%
4 46
11.1%
6 41
9.9%
5 41
9.9%
1 23
 
5.5%
7 23
 
5.5%
8 18
 
4.3%
10 11
 
2.6%
12 8
 
1.9%
Other values (25) 55
13.2%
2023-12-09T22:28:35.781898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 96
18.0%
3 88
16.5%
1 74
13.9%
4 54
10.2%
6 51
9.6%
5 44
8.3%
7 24
 
4.5%
8 22
 
4.1%
0 15
 
2.8%
n 12
 
2.3%
Other values (12) 52
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 475
89.3%
Lowercase Letter 48
 
9.0%
Uppercase Letter 6
 
1.1%
Space Separator 3
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 96
20.2%
3 88
18.5%
1 74
15.6%
4 54
11.4%
6 51
10.7%
5 44
9.3%
7 24
 
5.1%
8 22
 
4.6%
0 15
 
3.2%
9 7
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
n 12
25.0%
t 9
18.8%
i 6
12.5%
u 6
12.5%
o 3
 
6.2%
g 3
 
6.2%
d 3
 
6.2%
e 3
 
6.2%
s 3
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
S 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 478
89.8%
Latin 54
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 96
20.1%
3 88
18.4%
1 74
15.5%
4 54
11.3%
6 51
10.7%
5 44
9.2%
7 24
 
5.0%
8 22
 
4.6%
0 15
 
3.1%
9 7
 
1.5%
Latin
ValueCountFrequency (%)
n 12
22.2%
t 9
16.7%
i 6
11.1%
u 6
11.1%
o 3
 
5.6%
C 3
 
5.6%
g 3
 
5.6%
S 3
 
5.6%
d 3
 
5.6%
e 3
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 532
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 96
18.0%
3 88
16.5%
1 74
13.9%
4 54
10.2%
6 51
9.6%
5 44
8.3%
7 24
 
4.5%
8 22
 
4.1%
0 15
 
2.8%
n 12
 
2.3%
Other values (12) 52
9.8%

swdappsperseat_prog1
Text

MISSING 

Distinct26
Distinct (%)6.4%
Missing68
Missing (%)14.3%
Memory size25.3 KiB
2023-12-09T22:28:35.970673image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length1
Mean length1.224137931
Min length1

Characters and Unicode

Total characters497
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)1.2%

Sample

1st row2
2nd row2
3rd row5
4th row3
5th row7
ValueCountFrequency (%)
3 83
20.3%
2 67
16.4%
4 59
14.4%
5 56
13.7%
6 45
11.0%
8 20
 
4.9%
7 16
 
3.9%
9 9
 
2.2%
1 8
 
2.0%
11 6
 
1.5%
Other values (17) 40
9.8%
2023-12-09T22:28:36.286945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 91
18.3%
2 74
14.9%
4 64
12.9%
5 59
11.9%
6 49
9.9%
1 45
9.1%
8 23
 
4.6%
7 18
 
3.6%
n 12
 
2.4%
9 9
 
1.8%
Other values (12) 53
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
88.5%
Lowercase Letter 48
 
9.7%
Uppercase Letter 6
 
1.2%
Space Separator 3
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 91
20.7%
2 74
16.8%
4 64
14.5%
5 59
13.4%
6 49
11.1%
1 45
10.2%
8 23
 
5.2%
7 18
 
4.1%
9 9
 
2.0%
0 8
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
n 12
25.0%
t 9
18.8%
i 6
12.5%
u 6
12.5%
o 3
 
6.2%
g 3
 
6.2%
d 3
 
6.2%
e 3
 
6.2%
s 3
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
50.0%
S 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 443
89.1%
Latin 54
 
10.9%

Most frequent character per script

Common
ValueCountFrequency (%)
3 91
20.5%
2 74
16.7%
4 64
14.4%
5 59
13.3%
6 49
11.1%
1 45
10.2%
8 23
 
5.2%
7 18
 
4.1%
9 9
 
2.0%
0 8
 
1.8%
Latin
ValueCountFrequency (%)
n 12
22.2%
t 9
16.7%
i 6
11.1%
u 6
11.1%
C 3
 
5.6%
o 3
 
5.6%
g 3
 
5.6%
S 3
 
5.6%
d 3
 
5.6%
e 3
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 91
18.3%
2 74
14.9%
4 64
12.9%
5 59
11.9%
6 49
9.9%
1 45
9.1%
8 23
 
4.6%
7 18
 
3.6%
n 12
 
2.4%
9 9
 
1.8%
Other values (12) 53
10.7%

swdseats_prog1
Text

MISSING 

Distinct57
Distinct (%)13.7%
Missing57
Missing (%)12.0%
Memory size25.9 KiB
2023-12-09T22:28:36.545183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length2
Mean length1.932853717
Min length1

Characters and Unicode

Total characters806
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)4.6%

Sample

1st row20
2nd row15
3rd row12
4th row14
5th row14
ValueCountFrequency (%)
12 33
 
7.9%
16 25
 
6.0%
19 23
 
5.5%
14 23
 
5.5%
15 21
 
5.0%
17 21
 
5.0%
13 17
 
4.0%
6 17
 
4.0%
10 16
 
3.8%
21 15
 
3.6%
Other values (48) 209
49.8%
2023-12-09T22:28:36.941175image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 241
29.9%
2 136
16.9%
6 57
 
7.1%
4 51
 
6.3%
5 48
 
6.0%
3 47
 
5.8%
9 45
 
5.6%
7 43
 
5.3%
0 42
 
5.2%
8 37
 
4.6%
Other values (14) 59
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 747
92.7%
Lowercase Letter 48
 
6.0%
Uppercase Letter 7
 
0.9%
Space Separator 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 241
32.3%
2 136
18.2%
6 57
 
7.6%
4 51
 
6.8%
5 48
 
6.4%
3 47
 
6.3%
9 45
 
6.0%
7 43
 
5.8%
0 42
 
5.6%
8 37
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
n 12
25.0%
t 9
18.8%
i 6
12.5%
u 6
12.5%
o 3
 
6.2%
g 3
 
6.2%
d 3
 
6.2%
e 3
 
6.2%
s 3
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
42.9%
S 3
42.9%
N 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 751
93.2%
Latin 55
 
6.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 241
32.1%
2 136
18.1%
6 57
 
7.6%
4 51
 
6.8%
5 48
 
6.4%
3 47
 
6.3%
9 45
 
6.0%
7 43
 
5.7%
0 42
 
5.6%
8 37
 
4.9%
Other values (2) 4
 
0.5%
Latin
ValueCountFrequency (%)
n 12
21.8%
t 9
16.4%
i 6
10.9%
u 6
10.9%
o 3
 
5.5%
C 3
 
5.5%
g 3
 
5.5%
S 3
 
5.5%
d 3
 
5.5%
e 3
 
5.5%
Other values (2) 4
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 241
29.9%
2 136
16.9%
6 57
 
7.1%
4 51
 
6.3%
5 48
 
6.0%
3 47
 
5.8%
9 45
 
5.6%
7 43
 
5.3%
0 42
 
5.2%
8 37
 
4.6%
Other values (14) 59
 
7.3%

geseats_prog1
Text

MISSING 

Distinct135
Distinct (%)32.5%
Missing58
Missing (%)12.2%
Memory size26.0 KiB
2023-12-09T22:28:37.348162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length2
Mean length2.314903846
Min length1

Characters and Unicode

Total characters963
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)14.9%

Sample

1st row69
2nd row57
3rd row48
4th row56
5th row56
ValueCountFrequency (%)
48 15
 
3.6%
24 14
 
3.3%
74 11
 
2.6%
75 10
 
2.4%
72 9
 
2.1%
50 9
 
2.1%
25 9
 
2.1%
76 8
 
1.9%
66 7
 
1.7%
52 7
 
1.7%
Other values (126) 320
76.4%
2023-12-09T22:28:37.888292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 123
12.8%
2 121
12.6%
7 109
11.3%
4 99
10.3%
5 95
9.9%
6 91
9.4%
8 83
8.6%
0 65
6.7%
9 65
6.7%
3 55
5.7%
Other values (12) 57
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 906
94.1%
Lowercase Letter 48
 
5.0%
Uppercase Letter 6
 
0.6%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 123
13.6%
2 121
13.4%
7 109
12.0%
4 99
10.9%
5 95
10.5%
6 91
10.0%
8 83
9.2%
0 65
7.2%
9 65
7.2%
3 55
6.1%
Lowercase Letter
ValueCountFrequency (%)
n 12
25.0%
t 9
18.8%
i 6
12.5%
u 6
12.5%
e 3
 
6.2%
d 3
 
6.2%
o 3
 
6.2%
g 3
 
6.2%
s 3
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
C 3
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 909
94.4%
Latin 54
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 123
13.5%
2 121
13.3%
7 109
12.0%
4 99
10.9%
5 95
10.5%
6 91
10.0%
8 83
9.1%
0 65
7.2%
9 65
7.2%
3 55
6.1%
Latin
ValueCountFrequency (%)
n 12
22.2%
t 9
16.7%
i 6
11.1%
u 6
11.1%
S 3
 
5.6%
e 3
 
5.6%
d 3
 
5.6%
o 3
 
5.6%
g 3
 
5.6%
C 3
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 123
12.8%
2 121
12.6%
7 109
11.3%
4 99
10.3%
5 95
9.9%
6 91
9.4%
8 83
8.6%
0 65
6.7%
9 65
6.7%
3 55
5.7%
Other values (12) 57
5.9%

gefilled_prog1
Text

MISSING 

Distinct3
Distinct (%)0.7%
Missing50
Missing (%)10.5%
Memory size26.4 KiB
2023-12-09T22:28:38.061157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length3
Mean length2.716981132
Min length2

Characters and Unicode

Total characters1152
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes
ValueCountFrequency (%)
yes 253
59.3%
no 168
39.3%
continuing 3
 
0.7%
students 3
 
0.7%
2023-12-09T22:28:38.345499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 256
22.2%
s 256
22.2%
Y 253
22.0%
o 171
14.8%
N 168
14.6%
n 12
 
1.0%
t 9
 
0.8%
i 6
 
0.5%
u 6
 
0.5%
C 3
 
0.3%
Other values (4) 12
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 722
62.7%
Uppercase Letter 427
37.1%
Space Separator 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 256
35.5%
s 256
35.5%
o 171
23.7%
n 12
 
1.7%
t 9
 
1.2%
i 6
 
0.8%
u 6
 
0.8%
g 3
 
0.4%
d 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
Y 253
59.3%
N 168
39.3%
C 3
 
0.7%
S 3
 
0.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1149
99.7%
Common 3
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 256
22.3%
s 256
22.3%
Y 253
22.0%
o 171
14.9%
N 168
14.6%
n 12
 
1.0%
t 9
 
0.8%
i 6
 
0.5%
u 6
 
0.5%
C 3
 
0.3%
Other values (3) 9
 
0.8%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 256
22.2%
s 256
22.2%
Y 253
22.0%
o 171
14.8%
N 168
14.6%
n 12
 
1.0%
t 9
 
0.8%
i 6
 
0.5%
u 6
 
0.5%
C 3
 
0.3%
Other values (4) 12
 
1.0%

swdfilled_prog1
Text

MISSING 

Distinct4
Distinct (%)0.9%
Missing50
Missing (%)10.5%
Memory size26.4 KiB
2023-12-09T22:28:38.492172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length3
Mean length2.766509434
Min length1

Characters and Unicode

Total characters1173
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowNo
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes
ValueCountFrequency (%)
yes 275
64.4%
no 145
34.0%
continuing 3
 
0.7%
students 3
 
0.7%
1 1
 
0.2%
2023-12-09T22:28:38.758789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 278
23.7%
s 278
23.7%
Y 275
23.4%
o 148
12.6%
N 145
12.4%
n 12
 
1.0%
t 9
 
0.8%
i 6
 
0.5%
u 6
 
0.5%
C 3
 
0.3%
Other values (5) 13
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 743
63.3%
Uppercase Letter 426
36.3%
Space Separator 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 278
37.4%
s 278
37.4%
o 148
19.9%
n 12
 
1.6%
t 9
 
1.2%
i 6
 
0.8%
u 6
 
0.8%
g 3
 
0.4%
d 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
Y 275
64.6%
N 145
34.0%
C 3
 
0.7%
S 3
 
0.7%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1169
99.7%
Common 4
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 278
23.8%
s 278
23.8%
Y 275
23.5%
o 148
12.7%
N 145
12.4%
n 12
 
1.0%
t 9
 
0.8%
i 6
 
0.5%
u 6
 
0.5%
C 3
 
0.3%
Other values (3) 9
 
0.8%
Common
ValueCountFrequency (%)
3
75.0%
1 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 278
23.7%
s 278
23.7%
Y 275
23.4%
o 148
12.6%
N 145
12.4%
n 12
 
1.0%
t 9
 
0.8%
i 6
 
0.5%
u 6
 
0.5%
C 3
 
0.3%
Other values (5) 13
 
1.1%
Distinct77
Distinct (%)16.3%
Missing1
Missing (%)0.2%
Memory size48.6 KiB
2023-12-09T22:28:39.035845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length210
Median length195
Mean length47.9217759
Min length31

Characters and Unicode

Total characters22667
Distinct characters58
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)6.1%

Sample

1st rowOpen to students and residents of District 12
2nd rowOpen to students and residents of District 5
3rd rowOpen to students and residents of Manhattan
4th rowOpen to students and residents of District 5
5th rowAll-boys school; open to students and residents of Manhattan
ValueCountFrequency (%)
students 490
12.2%
and 474
11.8%
open 473
11.8%
to 473
11.8%
residents 420
10.4%
of 410
10.2%
district 288
 
7.2%
the 77
 
1.9%
in 51
 
1.3%
residing 50
 
1.2%
Other values (101) 817
20.3%
2023-12-09T22:28:39.815149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3550
15.7%
t 2734
12.1%
s 2299
10.1%
n 2251
9.9%
e 2156
9.5%
d 1482
 
6.5%
i 1321
 
5.8%
o 1157
 
5.1%
r 939
 
4.1%
a 601
 
2.7%
Other values (48) 4177
18.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17454
77.0%
Space Separator 3550
 
15.7%
Uppercase Letter 951
 
4.2%
Decimal Number 657
 
2.9%
Other Punctuation 40
 
0.2%
Dash Punctuation 13
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2734
15.7%
s 2299
13.2%
n 2251
12.9%
e 2156
12.4%
d 1482
8.5%
i 1321
7.6%
o 1157
6.6%
r 939
 
5.4%
a 601
 
3.4%
u 555
 
3.2%
Other values (14) 1959
11.2%
Uppercase Letter
ValueCountFrequency (%)
O 462
48.6%
D 321
33.8%
B 52
 
5.5%
Q 24
 
2.5%
N 16
 
1.7%
Y 16
 
1.7%
C 16
 
1.7%
M 14
 
1.5%
A 13
 
1.4%
S 5
 
0.5%
Other values (6) 12
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 173
26.3%
2 135
20.5%
5 68
 
10.4%
3 59
 
9.0%
9 55
 
8.4%
0 51
 
7.8%
6 34
 
5.2%
8 31
 
4.7%
7 28
 
4.3%
4 23
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 13
32.5%
; 13
32.5%
, 10
25.0%
& 4
 
10.0%
Space Separator
ValueCountFrequency (%)
3550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18405
81.2%
Common 4262
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2734
14.9%
s 2299
12.5%
n 2251
12.2%
e 2156
11.7%
d 1482
8.1%
i 1321
7.2%
o 1157
 
6.3%
r 939
 
5.1%
a 601
 
3.3%
u 555
 
3.0%
Other values (30) 2910
15.8%
Common
ValueCountFrequency (%)
3550
83.3%
1 173
 
4.1%
2 135
 
3.2%
5 68
 
1.6%
3 59
 
1.4%
9 55
 
1.3%
0 51
 
1.2%
6 34
 
0.8%
8 31
 
0.7%
7 28
 
0.7%
Other values (8) 78
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3550
15.7%
t 2734
12.1%
s 2299
10.1%
n 2251
9.9%
e 2156
9.5%
d 1482
 
6.5%
i 1321
 
5.8%
o 1157
 
5.1%
r 939
 
4.1%
a 601
 
2.7%
Other values (48) 4177
18.4%

priority1_prog1
Text

MISSING 

Distinct82
Distinct (%)26.5%
Missing165
Missing (%)34.8%
Memory size39.6 KiB
2023-12-09T22:28:40.132629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length165
Median length41
Mean length56.80582524
Min length39

Characters and Unicode

Total characters17553
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)18.4%

Sample

1st rowPriority to continuing 5th grade students
2nd rowPriority to continuing 5th grade students
3rd rowPriority to continuing 5th grade students
4th rowPriority to students and residents of Manhattan who sign in at an event
5th rowPriority to continuing 5th grade students
ValueCountFrequency (%)
students 323
 
10.9%
to 309
 
10.5%
priority 304
 
10.3%
in 168
 
5.7%
5th 129
 
4.4%
grade 129
 
4.4%
and 120
 
4.1%
continuing 118
 
4.0%
of 101
 
3.4%
the 87
 
2.9%
Other values (121) 1168
39.5%
2023-12-09T22:28:40.621821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2647
15.1%
t 2081
11.9%
i 1593
9.1%
n 1548
8.8%
s 1218
 
6.9%
e 1185
 
6.8%
o 1157
 
6.6%
r 1098
 
6.3%
d 795
 
4.5%
a 537
 
3.1%
Other values (50) 3694
21.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13695
78.0%
Space Separator 2647
 
15.1%
Uppercase Letter 588
 
3.3%
Decimal Number 426
 
2.4%
Other Punctuation 154
 
0.9%
Close Punctuation 16
 
0.1%
Open Punctuation 16
 
0.1%
Dash Punctuation 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2081
15.2%
i 1593
11.6%
n 1548
11.3%
s 1218
8.9%
e 1185
8.7%
o 1157
8.4%
r 1098
8.0%
d 795
 
5.8%
a 537
 
3.9%
u 492
 
3.6%
Other values (14) 1991
14.5%
Uppercase Letter
ValueCountFrequency (%)
P 326
55.4%
D 81
 
13.8%
L 53
 
9.0%
S 51
 
8.7%
E 23
 
3.9%
T 11
 
1.9%
F 8
 
1.4%
R 8
 
1.4%
G 7
 
1.2%
X 4
 
0.7%
Other values (7) 16
 
2.7%
Decimal Number
ValueCountFrequency (%)
5 158
37.1%
1 84
19.7%
2 47
 
11.0%
3 33
 
7.7%
9 29
 
6.8%
8 20
 
4.7%
0 20
 
4.7%
7 15
 
3.5%
6 11
 
2.6%
4 9
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 86
55.8%
, 50
32.5%
% 11
 
7.1%
& 6
 
3.9%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2647
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14283
81.4%
Common 3270
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2081
14.6%
i 1593
11.2%
n 1548
10.8%
s 1218
8.5%
e 1185
8.3%
o 1157
8.1%
r 1098
7.7%
d 795
 
5.6%
a 537
 
3.8%
u 492
 
3.4%
Other values (31) 2579
18.1%
Common
ValueCountFrequency (%)
2647
80.9%
5 158
 
4.8%
. 86
 
2.6%
1 84
 
2.6%
, 50
 
1.5%
2 47
 
1.4%
3 33
 
1.0%
9 29
 
0.9%
8 20
 
0.6%
0 20
 
0.6%
Other values (9) 96
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2647
15.1%
t 2081
11.9%
i 1593
9.1%
n 1548
8.8%
s 1218
 
6.9%
e 1185
 
6.8%
o 1157
 
6.6%
r 1098
 
6.3%
d 795
 
4.5%
a 537
 
3.1%
Other values (50) 3694
21.0%

priority2_prog1
Text

MISSING 

Distinct81
Distinct (%)27.6%
Missing181
Missing (%)38.2%
Memory size35.7 KiB
2023-12-09T22:28:40.904776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length84
Median length71
Mean length47.6552901
Min length22

Characters and Unicode

Total characters13963
Distinct characters47
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)12.6%

Sample

1st rowThen to students residing in the elementary school zone who sign in at an event
2nd rowThen to students residing in the elementary school zone who sign in at an event
3rd rowThen to students residing in the elementary school zone who sign in at an event
4th rowThen to students and residents of Manhattan.
5th rowThen to students residing in the elementary school zone who sign in at an event
ValueCountFrequency (%)
to 301
12.1%
then 292
11.7%
students 282
11.3%
residents 198
 
7.9%
and 197
 
7.9%
of 192
 
7.7%
district 151
 
6.0%
in 111
 
4.4%
the 94
 
3.8%
zone 88
 
3.5%
Other values (69) 590
23.6%
2023-12-09T22:28:41.372245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2203
15.8%
t 1607
11.5%
e 1468
10.5%
n 1432
10.3%
s 1290
9.2%
i 836
 
6.0%
d 779
 
5.6%
o 762
 
5.5%
r 530
 
3.8%
h 466
 
3.3%
Other values (37) 2590
18.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10701
76.6%
Space Separator 2203
 
15.8%
Uppercase Letter 540
 
3.9%
Decimal Number 308
 
2.2%
Other Punctuation 211
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1607
15.0%
e 1468
13.7%
n 1432
13.4%
s 1290
12.1%
i 836
7.8%
d 779
7.3%
o 762
7.1%
r 530
 
5.0%
h 466
 
4.4%
a 315
 
2.9%
Other values (12) 1216
11.4%
Uppercase Letter
ValueCountFrequency (%)
T 292
54.1%
D 157
29.1%
B 20
 
3.7%
S 13
 
2.4%
C 11
 
2.0%
P 11
 
2.0%
N 10
 
1.9%
Y 10
 
1.9%
Q 6
 
1.1%
M 5
 
0.9%
Other values (2) 5
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 79
25.6%
2 72
23.4%
9 41
13.3%
3 26
 
8.4%
0 23
 
7.5%
8 19
 
6.2%
6 18
 
5.8%
5 14
 
4.5%
7 12
 
3.9%
4 4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 207
98.1%
, 4
 
1.9%
Space Separator
ValueCountFrequency (%)
2203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11241
80.5%
Common 2722
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1607
14.3%
e 1468
13.1%
n 1432
12.7%
s 1290
11.5%
i 836
7.4%
d 779
6.9%
o 762
6.8%
r 530
 
4.7%
h 466
 
4.1%
a 315
 
2.8%
Other values (24) 1756
15.6%
Common
ValueCountFrequency (%)
2203
80.9%
. 207
 
7.6%
1 79
 
2.9%
2 72
 
2.6%
9 41
 
1.5%
3 26
 
1.0%
0 23
 
0.8%
8 19
 
0.7%
6 18
 
0.7%
5 14
 
0.5%
Other values (3) 20
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2203
15.8%
t 1607
11.5%
e 1468
10.5%
n 1432
10.3%
s 1290
9.2%
i 836
 
6.0%
d 779
 
5.6%
o 762
 
5.5%
r 530
 
3.8%
h 466
 
3.3%
Other values (37) 2590
18.5%

priority3_prog1
Text

MISSING 

Distinct43
Distinct (%)41.7%
Missing371
Missing (%)78.3%
Memory size22.5 KiB
2023-12-09T22:28:41.604473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length74
Median length69
Mean length49.7961165
Min length1

Characters and Unicode

Total characters5129
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)18.4%

Sample

1st rowThen to students and residents of District 5 who sign in at an event
2nd rowThen to students and residents of District 5 who sign in at an event
3rd rowThen to students and residents of District 5 who sign in at an event
4th rowThen to students and residents of District 5 who sign in at an event
5th rowThen to students residing in the zone
ValueCountFrequency (%)
then 100
10.5%
to 100
10.5%
students 100
10.5%
and 100
10.5%
residents 97
10.2%
of 97
10.2%
district 81
8.5%
in 27
 
2.8%
who 25
 
2.6%
an 25
 
2.6%
Other values (40) 201
21.1%
2023-12-09T22:28:41.975535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
850
16.6%
t 631
12.3%
n 524
10.2%
s 517
10.1%
e 473
9.2%
i 325
 
6.3%
d 301
 
5.9%
o 240
 
4.7%
r 194
 
3.8%
a 159
 
3.1%
Other values (30) 915
17.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3887
75.8%
Space Separator 850
 
16.6%
Uppercase Letter 197
 
3.8%
Decimal Number 140
 
2.7%
Other Punctuation 55
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 631
16.2%
n 524
13.5%
s 517
13.3%
e 473
12.2%
i 325
8.4%
d 301
7.7%
o 240
 
6.2%
r 194
 
5.0%
a 159
 
4.1%
h 138
 
3.6%
Other values (12) 385
9.9%
Decimal Number
ValueCountFrequency (%)
1 43
30.7%
2 18
12.9%
0 16
 
11.4%
9 15
 
10.7%
5 11
 
7.9%
4 9
 
6.4%
8 8
 
5.7%
3 8
 
5.7%
7 6
 
4.3%
6 6
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
T 100
50.8%
D 84
42.6%
B 7
 
3.6%
Q 4
 
2.0%
M 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 53
96.4%
, 2
 
3.6%
Space Separator
ValueCountFrequency (%)
850
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4084
79.6%
Common 1045
 
20.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 631
15.5%
n 524
12.8%
s 517
12.7%
e 473
11.6%
i 325
8.0%
d 301
7.4%
o 240
 
5.9%
r 194
 
4.8%
a 159
 
3.9%
h 138
 
3.4%
Other values (17) 582
14.3%
Common
ValueCountFrequency (%)
850
81.3%
. 53
 
5.1%
1 43
 
4.1%
2 18
 
1.7%
0 16
 
1.5%
9 15
 
1.4%
5 11
 
1.1%
4 9
 
0.9%
8 8
 
0.8%
3 8
 
0.8%
Other values (3) 14
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5129
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
850
16.6%
t 631
12.3%
n 524
10.2%
s 517
10.1%
e 473
9.2%
i 325
 
6.3%
d 301
 
5.9%
o 240
 
4.7%
r 194
 
3.8%
a 159
 
3.1%
Other values (30) 915
17.8%

priority4_prog1
Text

MISSING 

Distinct24
Distinct (%)48.0%
Missing424
Missing (%)89.5%
Memory size19.1 KiB
2023-12-09T22:28:42.273479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length306
Median length70
Mean length54.12
Min length1

Characters and Unicode

Total characters2706
Distinct characters49
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)26.0%

Sample

1st rowThen to students residing in the elementary school zone.
2nd rowThen to students and residents of Manhattan who sign in at an event.
3rd rowThen to students residing in the elementary school zone.
4th rowThen to students residing in the elementary school zone.
5th rowThen to students and residents of District 12 who sign in at an event
ValueCountFrequency (%)
to 48
 
10.1%
then 45
 
9.5%
students 45
 
9.5%
of 43
 
9.1%
and 40
 
8.4%
residents 39
 
8.2%
district 26
 
5.5%
the 19
 
4.0%
in 15
 
3.2%
school 10
 
2.1%
Other values (61) 144
30.4%
2023-12-09T22:28:42.711347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
15.7%
t 292
10.8%
e 272
10.1%
n 261
9.6%
s 246
9.1%
i 155
 
5.7%
o 152
 
5.6%
d 144
 
5.3%
r 109
 
4.0%
a 89
 
3.3%
Other values (39) 562
20.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2089
77.2%
Space Separator 424
 
15.7%
Uppercase Letter 96
 
3.5%
Other Punctuation 51
 
1.9%
Decimal Number 43
 
1.6%
Open Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 292
14.0%
e 272
13.0%
n 261
12.5%
s 246
11.8%
i 155
7.4%
o 152
7.3%
d 144
6.9%
r 109
 
5.2%
a 89
 
4.3%
h 87
 
4.2%
Other values (13) 282
13.5%
Uppercase Letter
ValueCountFrequency (%)
T 46
47.9%
D 26
27.1%
B 7
 
7.3%
L 4
 
4.2%
M 3
 
3.1%
A 3
 
3.1%
Q 2
 
2.1%
R 2
 
2.1%
F 2
 
2.1%
U 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 13
30.2%
9 9
20.9%
0 7
16.3%
8 5
 
11.6%
2 5
 
11.6%
4 1
 
2.3%
6 1
 
2.3%
7 1
 
2.3%
3 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 48
94.1%
, 2
 
3.9%
: 1
 
2.0%
Space Separator
ValueCountFrequency (%)
424
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2185
80.7%
Common 521
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 292
13.4%
e 272
12.4%
n 261
11.9%
s 246
11.3%
i 155
7.1%
o 152
7.0%
d 144
 
6.6%
r 109
 
5.0%
a 89
 
4.1%
h 87
 
4.0%
Other values (23) 378
17.3%
Common
ValueCountFrequency (%)
424
81.4%
. 48
 
9.2%
1 13
 
2.5%
9 9
 
1.7%
0 7
 
1.3%
8 5
 
1.0%
2 5
 
1.0%
, 2
 
0.4%
( 1
 
0.2%
4 1
 
0.2%
Other values (6) 6
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2705
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
15.7%
t 292
10.8%
e 272
10.1%
n 261
9.6%
s 246
9.1%
i 155
 
5.7%
o 152
 
5.6%
d 144
 
5.3%
r 109
 
4.0%
a 89
 
3.3%
Other values (38) 561
20.7%
Punctuation
ValueCountFrequency (%)
1
100.0%

priority5_prog1
Text

MISSING 

Distinct15
Distinct (%)13.8%
Missing365
Missing (%)77.0%
Memory size18.7 KiB
2023-12-09T22:28:42.928012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length67
Median length1
Mean length10.21100917
Min length1

Characters and Unicode

Total characters1113
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)8.3%

Sample

1st rowThen to students and residents of District 5.
2nd rowThen to students residing in the elementary school zone
3rd rowThen to students and residents of District 5
4th rowThen to students and residents of District 5
5th rowThen to students and residents of District 12
ValueCountFrequency (%)
89
32.1%
students 20
 
7.2%
to 19
 
6.9%
and 19
 
6.9%
then 19
 
6.9%
residents 18
 
6.5%
of 18
 
6.5%
district 13
 
4.7%
in 5
 
1.8%
an 4
 
1.4%
Other values (30) 53
19.1%
2023-12-09T22:28:43.273563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
15.1%
t 123
11.1%
s 100
9.0%
n 100
9.0%
. 98
8.8%
e 94
8.4%
i 61
 
5.5%
d 60
 
5.4%
o 53
 
4.8%
r 45
 
4.0%
Other values (27) 211
19.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 789
70.9%
Space Separator 168
 
15.1%
Other Punctuation 99
 
8.9%
Uppercase Letter 38
 
3.4%
Decimal Number 19
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 123
15.6%
s 100
12.7%
n 100
12.7%
e 94
11.9%
i 61
7.7%
d 60
7.6%
o 53
6.7%
r 45
 
5.7%
a 33
 
4.2%
h 29
 
3.7%
Other values (13) 91
11.5%
Decimal Number
ValueCountFrequency (%)
1 4
21.1%
5 3
15.8%
2 3
15.8%
9 3
15.8%
4 3
15.8%
3 2
10.5%
0 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
T 19
50.0%
D 14
36.8%
B 4
 
10.5%
L 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 98
99.0%
, 1
 
1.0%
Space Separator
ValueCountFrequency (%)
168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 827
74.3%
Common 286
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 123
14.9%
s 100
12.1%
n 100
12.1%
e 94
11.4%
i 61
7.4%
d 60
7.3%
o 53
6.4%
r 45
 
5.4%
a 33
 
4.0%
h 29
 
3.5%
Other values (17) 129
15.6%
Common
ValueCountFrequency (%)
168
58.7%
. 98
34.3%
1 4
 
1.4%
5 3
 
1.0%
2 3
 
1.0%
9 3
 
1.0%
4 3
 
1.0%
3 2
 
0.7%
, 1
 
0.3%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1113
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
15.1%
t 123
11.1%
s 100
9.0%
n 100
9.0%
. 98
8.8%
e 94
8.4%
i 61
 
5.5%
d 60
 
5.4%
o 53
 
4.8%
r 45
 
4.0%
Other values (27) 211
19.0%

priority6_prog1
Text

MISSING 

Distinct7
Distinct (%)2.3%
Missing166
Missing (%)35.0%
Memory size23.1 KiB
2023-12-09T22:28:43.436652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length67
Median length1
Mean length2.198051948
Min length1

Characters and Unicode

Total characters677
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row.
2nd row.
3rd rowThen to students and residents of District 5
4th row.
5th row.
ValueCountFrequency (%)
300
81.3%
then 8
 
2.2%
to 8
 
2.2%
students 8
 
2.2%
and 8
 
2.2%
residents 8
 
2.2%
of 8
 
2.2%
the 4
 
1.1%
bronx 4
 
1.1%
district 3
 
0.8%
Other values (9) 10
 
2.7%
2023-12-09T22:28:43.736346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 305
45.1%
61
 
9.0%
t 44
 
6.5%
n 41
 
6.1%
e 38
 
5.6%
s 36
 
5.3%
d 24
 
3.5%
o 23
 
3.4%
i 16
 
2.4%
r 16
 
2.4%
Other values (18) 73
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 305
45.1%
Lowercase Letter 290
42.8%
Space Separator 61
 
9.0%
Uppercase Letter 16
 
2.4%
Decimal Number 5
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 44
15.2%
n 41
14.1%
e 38
13.1%
s 36
12.4%
d 24
8.3%
o 23
7.9%
i 16
 
5.5%
r 16
 
5.5%
h 13
 
4.5%
a 10
 
3.4%
Other values (10) 29
10.0%
Uppercase Letter
ValueCountFrequency (%)
T 8
50.0%
B 5
31.2%
D 3
 
18.8%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
0 2
40.0%
5 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 305
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
54.8%
Latin 306
45.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 44
14.4%
n 41
13.4%
e 38
12.4%
s 36
11.8%
d 24
7.8%
o 23
7.5%
i 16
 
5.2%
r 16
 
5.2%
h 13
 
4.2%
a 10
 
3.3%
Other values (13) 45
14.7%
Common
ValueCountFrequency (%)
. 305
82.2%
61
 
16.4%
1 2
 
0.5%
0 2
 
0.5%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 677
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 305
45.1%
61
 
9.0%
t 44
 
6.5%
n 41
 
6.1%
e 38
 
5.6%
s 36
 
5.3%
d 24
 
3.5%
o 23
 
3.4%
i 16
 
2.4%
r 16
 
2.4%
Other values (18) 73
 
10.8%

priority7_prog1
Text

MISSING 

Distinct4
Distinct (%)1.1%
Missing108
Missing (%)22.8%
Memory size24.4 KiB
2023-12-09T22:28:43.893611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length67
Median length1
Mean length1.415300546
Min length1

Characters and Unicode

Total characters518
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st row.
2nd row.
3rd rowThen to students and residents of Manhattan.
4th row.
5th row.
ValueCountFrequency (%)
363
92.6%
then 3
 
0.8%
to 3
 
0.8%
students 3
 
0.8%
and 3
 
0.8%
residents 3
 
0.8%
of 3
 
0.8%
the 2
 
0.5%
bronx 2
 
0.5%
manhattan 1
 
0.3%
Other values (6) 6
 
1.5%
2023-12-09T22:28:44.191208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 365
70.5%
26
 
5.0%
n 20
 
3.9%
t 18
 
3.5%
e 16
 
3.1%
s 13
 
2.5%
o 9
 
1.7%
d 9
 
1.7%
a 8
 
1.5%
h 7
 
1.4%
Other values (11) 27
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 365
70.5%
Lowercase Letter 121
 
23.4%
Space Separator 26
 
5.0%
Uppercase Letter 6
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 20
16.5%
t 18
14.9%
e 16
13.2%
s 13
10.7%
o 9
7.4%
d 9
7.4%
a 8
 
6.6%
h 7
 
5.8%
r 5
 
4.1%
i 5
 
4.1%
Other values (6) 11
9.1%
Uppercase Letter
ValueCountFrequency (%)
T 3
50.0%
B 2
33.3%
M 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 365
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 391
75.5%
Latin 127
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 20
15.7%
t 18
14.2%
e 16
12.6%
s 13
10.2%
o 9
7.1%
d 9
7.1%
a 8
 
6.3%
h 7
 
5.5%
r 5
 
3.9%
i 5
 
3.9%
Other values (9) 17
13.4%
Common
ValueCountFrequency (%)
. 365
93.4%
26
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 365
70.5%
26
 
5.0%
n 20
 
3.9%
t 18
 
3.5%
e 16
 
3.1%
s 13
 
2.5%
o 9
 
1.7%
d 9
 
1.7%
a 8
 
1.5%
h 7
 
1.4%
Other values (11) 27
 
5.2%

prefnote_prog1
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing199
Missing (%)42.0%
Memory size22.4 KiB
2023-12-09T22:28:44.385888image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length208
Median length1
Mean length2.829090909
Min length1

Characters and Unicode

Total characters778
Distinct characters42
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
272
80.5%
language 11
 
3.3%
the 5
 
1.5%
of 4
 
1.2%
target 4
 
1.2%
english 3
 
0.9%
learners 3
 
0.9%
ells 3
 
0.9%
in 2
 
0.6%
programs 2
 
0.6%
Other values (19) 29
 
8.6%
2023-12-09T22:28:44.692758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 274
35.2%
63
 
8.1%
a 54
 
6.9%
e 50
 
6.4%
g 35
 
4.5%
n 35
 
4.5%
r 30
 
3.9%
t 28
 
3.6%
l 25
 
3.2%
i 23
 
3.0%
Other values (32) 161
20.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 384
49.4%
Other Punctuation 280
36.0%
Space Separator 63
 
8.1%
Uppercase Letter 37
 
4.8%
Decimal Number 6
 
0.8%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 54
14.1%
e 50
13.0%
g 35
9.1%
n 35
9.1%
r 30
7.8%
t 28
7.3%
l 25
 
6.5%
i 23
 
6.0%
s 20
 
5.2%
o 19
 
4.9%
Other values (11) 65
16.9%
Uppercase Letter
ValueCountFrequency (%)
L 16
43.2%
E 8
21.6%
B 2
 
5.4%
D 2
 
5.4%
T 2
 
5.4%
P 2
 
5.4%
S 2
 
5.4%
H 2
 
5.4%
N 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
9 1
16.7%
7 1
16.7%
1 1
16.7%
8 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 274
97.9%
, 4
 
1.4%
/ 2
 
0.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 421
54.1%
Common 357
45.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 54
12.8%
e 50
11.9%
g 35
 
8.3%
n 35
 
8.3%
r 30
 
7.1%
t 28
 
6.7%
l 25
 
5.9%
i 23
 
5.5%
s 20
 
4.8%
o 19
 
4.5%
Other values (20) 102
24.2%
Common
ValueCountFrequency (%)
. 274
76.8%
63
 
17.6%
, 4
 
1.1%
) 3
 
0.8%
( 3
 
0.8%
0 2
 
0.6%
/ 2
 
0.6%
- 2
 
0.6%
9 1
 
0.3%
7 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 274
35.2%
63
 
8.1%
a 54
 
6.9%
e 50
 
6.4%
g 35
 
4.5%
n 35
 
4.5%
r 30
 
3.9%
t 28
 
3.6%
l 25
 
3.2%
i 23
 
3.0%
Other values (32) 161
20.7%

lowestpriority_prog1
Text

MISSING 

Distinct10
Distinct (%)3.4%
Missing184
Missing (%)38.8%
Memory size42.2 KiB
2023-12-09T22:28:44.931084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length296
Median length67
Mean length71.4137931
Min length1

Characters and Unicode

Total characters20710
Distinct characters39
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st rowLast year, this program admitted students from all priority groups.
2nd rowLast year, this program admitted students from all priority groups.
3rd rowLast year, this program admitted students from all priority groups.
4th rowLast year, this program admitted students from all priority groups.
5th rowLast year, this program admitted students from all priority groups.
ValueCountFrequency (%)
students 280
9.0%
last 279
9.0%
year 279
9.0%
from 279
9.0%
priority 279
9.0%
admitted 279
9.0%
program 279
9.0%
this 279
9.0%
groups 249
8.0%
all 233
7.5%
Other values (39) 395
12.7%
2023-12-09T22:28:45.317066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2820
13.6%
t 2054
 
9.9%
r 2048
 
9.9%
a 1568
 
7.6%
s 1434
 
6.9%
o 1226
 
5.9%
i 1200
 
5.8%
e 1011
 
4.9%
d 871
 
4.2%
p 863
 
4.2%
Other values (29) 5615
27.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16786
81.1%
Space Separator 2820
 
13.6%
Other Punctuation 607
 
2.9%
Uppercase Letter 400
 
1.9%
Decimal Number 73
 
0.4%
Close Punctuation 8
 
< 0.1%
Dash Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2054
12.2%
r 2048
12.2%
a 1568
9.3%
s 1434
 
8.5%
o 1226
 
7.3%
i 1200
 
7.1%
e 1011
 
6.0%
d 871
 
5.2%
p 863
 
5.1%
m 853
 
5.1%
Other values (11) 3658
21.8%
Uppercase Letter
ValueCountFrequency (%)
L 327
81.8%
E 24
 
6.0%
S 9
 
2.2%
H 8
 
2.0%
D 8
 
2.0%
T 8
 
2.0%
B 8
 
2.0%
P 7
 
1.8%
U 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 46
63.0%
2 16
 
21.9%
3 11
 
15.1%
Other Punctuation
ValueCountFrequency (%)
, 317
52.2%
. 290
47.8%
Space Separator
ValueCountFrequency (%)
2820
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17186
83.0%
Common 3524
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2054
12.0%
r 2048
11.9%
a 1568
 
9.1%
s 1434
 
8.3%
o 1226
 
7.1%
i 1200
 
7.0%
e 1011
 
5.9%
d 871
 
5.1%
p 863
 
5.0%
m 853
 
5.0%
Other values (20) 4058
23.6%
Common
ValueCountFrequency (%)
2820
80.0%
, 317
 
9.0%
. 290
 
8.2%
1 46
 
1.3%
2 16
 
0.5%
3 11
 
0.3%
) 8
 
0.2%
- 8
 
0.2%
( 8
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2820
13.6%
t 2054
 
9.9%
r 2048
 
9.9%
a 1568
 
7.6%
s 1434
 
6.9%
o 1226
 
5.9%
i 1200
 
5.8%
e 1011
 
4.9%
d 871
 
4.2%
p 863
 
4.2%
Other values (29) 5615
27.1%
Distinct38
Distinct (%)9.2%
Missing62
Missing (%)13.1%
Memory size58.2 KiB
2023-12-09T22:28:45.593964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length270
Median length255
Mean length82.60679612
Min length8

Characters and Unicode

Total characters34034
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)4.6%

Sample

1st rowStudents who apply to this program will be randomly selected
2nd rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
3rd rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
4th rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
5th rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
ValueCountFrequency (%)
the 431
 
7.4%
to 239
 
4.1%
students 238
 
4.1%
will 235
 
4.0%
selected 233
 
4.0%
apply 233
 
4.0%
who 233
 
4.0%
be 233
 
4.0%
of 231
 
3.9%
randomly 231
 
3.9%
Other values (103) 3316
56.7%
2023-12-09T22:28:46.022402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5441
16.0%
e 3041
 
8.9%
t 2730
 
8.0%
o 2224
 
6.5%
r 2191
 
6.4%
a 2024
 
5.9%
l 1615
 
4.7%
i 1512
 
4.4%
s 1402
 
4.1%
d 1399
 
4.1%
Other values (51) 10455
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26433
77.7%
Space Separator 5441
 
16.0%
Uppercase Letter 1693
 
5.0%
Decimal Number 234
 
0.7%
Other Punctuation 176
 
0.5%
Open Punctuation 19
 
0.1%
Close Punctuation 19
 
0.1%
Dash Punctuation 19
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3041
11.5%
t 2730
 
10.3%
o 2224
 
8.4%
r 2191
 
8.3%
a 2024
 
7.7%
l 1615
 
6.1%
i 1512
 
5.7%
s 1402
 
5.3%
d 1399
 
5.3%
h 1174
 
4.4%
Other values (15) 7121
26.9%
Uppercase Letter
ValueCountFrequency (%)
S 379
22.4%
E 309
18.3%
L 241
14.2%
A 154
9.1%
G 127
 
7.5%
N 126
 
7.4%
Y 125
 
7.4%
M 92
 
5.4%
P 31
 
1.8%
B 31
 
1.8%
Other values (10) 78
 
4.6%
Decimal Number
ValueCountFrequency (%)
4 128
54.7%
2 50
 
21.4%
5 24
 
10.3%
0 18
 
7.7%
1 10
 
4.3%
7 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 52
29.5%
% 42
23.9%
, 41
23.3%
: 39
22.2%
& 1
 
0.6%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
5441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28126
82.6%
Common 5908
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3041
 
10.8%
t 2730
 
9.7%
o 2224
 
7.9%
r 2191
 
7.8%
a 2024
 
7.2%
l 1615
 
5.7%
i 1512
 
5.4%
s 1402
 
5.0%
d 1399
 
5.0%
h 1174
 
4.2%
Other values (35) 8814
31.3%
Common
ValueCountFrequency (%)
5441
92.1%
4 128
 
2.2%
. 52
 
0.9%
2 50
 
0.8%
% 42
 
0.7%
, 41
 
0.7%
: 39
 
0.7%
5 24
 
0.4%
( 19
 
0.3%
) 19
 
0.3%
Other values (6) 53
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34034
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5441
16.0%
e 3041
 
8.9%
t 2730
 
8.0%
o 2224
 
6.5%
r 2191
 
6.4%
a 2024
 
5.9%
l 1615
 
4.7%
i 1512
 
4.4%
s 1402
 
4.1%
d 1399
 
4.1%
Other values (51) 10455
30.7%
Distinct26
Distinct (%)16.0%
Missing311
Missing (%)65.6%
Memory size23.6 KiB
2023-12-09T22:28:46.319344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length47
Mean length29.09815951
Min length9

Characters and Unicode

Total characters4743
Distinct characters59
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)8.0%

Sample

1st rowAttendance
2nd rowAttendance
3rd rowAttendance
4th row4th Grade New York State Math Exam: 22.5%
5th rowAcademic and Personal Behaviors
ValueCountFrequency (%)
and 75
 
10.1%
attendance 62
 
8.4%
4th 55
 
7.4%
grade 55
 
7.4%
new 43
 
5.8%
math 42
 
5.7%
york 42
 
5.7%
state 41
 
5.5%
punctuality 37
 
5.0%
academic 36
 
4.9%
Other values (48) 251
34.0%
2023-12-09T22:28:46.740502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
 
12.1%
a 512
 
10.8%
t 417
 
8.8%
e 412
 
8.7%
n 319
 
6.7%
d 244
 
5.1%
r 220
 
4.6%
c 181
 
3.8%
o 150
 
3.2%
i 141
 
3.0%
Other values (49) 1571
33.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3331
70.2%
Space Separator 576
 
12.1%
Uppercase Letter 565
 
11.9%
Decimal Number 160
 
3.4%
Other Punctuation 107
 
2.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Format 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 512
15.4%
t 417
12.5%
e 412
12.4%
n 319
9.6%
d 244
7.3%
r 220
 
6.6%
c 181
 
5.4%
o 150
 
4.5%
i 141
 
4.2%
h 139
 
4.2%
Other values (12) 596
17.9%
Uppercase Letter
ValueCountFrequency (%)
A 110
19.5%
P 75
13.3%
G 55
9.7%
E 51
9.0%
S 47
8.3%
M 42
 
7.4%
Y 42
 
7.4%
N 42
 
7.4%
B 36
 
6.4%
C 15
 
2.7%
Other values (10) 50
8.8%
Decimal Number
ValueCountFrequency (%)
4 61
38.1%
2 48
30.0%
5 27
16.9%
0 15
 
9.4%
1 4
 
2.5%
7 4
 
2.5%
3 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
% 42
39.3%
: 38
35.5%
. 21
19.6%
& 3
 
2.8%
/ 3
 
2.8%
Space Separator
ValueCountFrequency (%)
576
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Format
ValueCountFrequency (%)
 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3896
82.1%
Common 847
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 512
13.1%
t 417
 
10.7%
e 412
 
10.6%
n 319
 
8.2%
d 244
 
6.3%
r 220
 
5.6%
c 181
 
4.6%
o 150
 
3.9%
i 141
 
3.6%
h 139
 
3.6%
Other values (32) 1161
29.8%
Common
ValueCountFrequency (%)
576
68.0%
4 61
 
7.2%
2 48
 
5.7%
% 42
 
5.0%
: 38
 
4.5%
5 27
 
3.2%
. 21
 
2.5%
0 15
 
1.8%
1 4
 
0.5%
7 4
 
0.5%
Other values (7) 11
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4742
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
 
12.1%
a 512
 
10.8%
t 417
 
8.8%
e 412
 
8.7%
n 319
 
6.7%
d 244
 
5.1%
r 220
 
4.6%
c 181
 
3.8%
o 150
 
3.2%
i 141
 
3.0%
Other values (48) 1570
33.1%
None
ValueCountFrequency (%)
 1
100.0%
Distinct44
Distinct (%)27.3%
Missing313
Missing (%)66.0%
Memory size23.0 KiB
2023-12-09T22:28:46.999365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length92
Median length50
Mean length26.43478261
Min length8

Characters and Unicode

Total characters4256
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)16.8%

Sample

1st rowFinal 4th Grade Report Card
2nd rowAttendance at an Open House/School Tour
3rd rowFinal 4th Grade Report Card
4th rowAttendance: 5%
5th rowAttendance
ValueCountFrequency (%)
attendance 56
 
8.7%
and 48
 
7.4%
grade 46
 
7.1%
4th 46
 
7.1%
final 40
 
6.2%
report 40
 
6.2%
card 40
 
6.2%
academic 24
 
3.7%
personal 23
 
3.6%
behaviors 21
 
3.3%
Other values (71) 261
40.5%
2023-12-09T22:28:47.424863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
 
11.4%
a 398
 
9.4%
e 395
 
9.3%
t 347
 
8.2%
n 335
 
7.9%
r 245
 
5.8%
d 222
 
5.2%
o 163
 
3.8%
i 157
 
3.7%
c 147
 
3.5%
Other values (50) 1363
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3040
71.4%
Uppercase Letter 503
 
11.8%
Space Separator 484
 
11.4%
Decimal Number 118
 
2.8%
Other Punctuation 108
 
2.5%
Dash Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 398
13.1%
e 395
13.0%
t 347
11.4%
n 335
11.0%
r 245
8.1%
d 222
7.3%
o 163
 
5.4%
i 157
 
5.2%
c 147
 
4.8%
s 126
 
4.1%
Other values (13) 505
16.6%
Uppercase Letter
ValueCountFrequency (%)
A 107
21.3%
G 53
10.5%
P 46
9.1%
C 43
8.5%
F 41
 
8.2%
R 40
 
8.0%
E 29
 
5.8%
S 24
 
4.8%
B 23
 
4.6%
M 14
 
2.8%
Other values (11) 83
16.5%
Decimal Number
ValueCountFrequency (%)
4 46
39.0%
5 24
20.3%
2 17
 
14.4%
0 17
 
14.4%
1 12
 
10.2%
7 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 45
41.7%
% 42
38.9%
. 8
 
7.4%
/ 6
 
5.6%
, 5
 
4.6%
& 2
 
1.9%
Space Separator
ValueCountFrequency (%)
484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3543
83.2%
Common 713
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 398
 
11.2%
e 395
 
11.1%
t 347
 
9.8%
n 335
 
9.5%
r 245
 
6.9%
d 222
 
6.3%
o 163
 
4.6%
i 157
 
4.4%
c 147
 
4.1%
s 126
 
3.6%
Other values (34) 1008
28.5%
Common
ValueCountFrequency (%)
484
67.9%
4 46
 
6.5%
: 45
 
6.3%
% 42
 
5.9%
5 24
 
3.4%
2 17
 
2.4%
0 17
 
2.4%
1 12
 
1.7%
. 8
 
1.1%
/ 6
 
0.8%
Other values (6) 12
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
 
11.4%
a 398
 
9.4%
e 395
 
9.3%
t 347
 
8.2%
n 335
 
7.9%
r 245
 
5.8%
d 222
 
5.2%
o 163
 
3.8%
i 157
 
3.7%
c 147
 
3.5%
Other values (50) 1363
32.0%
Distinct44
Distinct (%)33.6%
Missing343
Missing (%)72.4%
Memory size21.3 KiB
2023-12-09T22:28:47.726063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length47
Mean length24.8778626
Min length8

Characters and Unicode

Total characters3259
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)21.4%

Sample

1st rowEntrance Exam
2nd rowFinal 4th Grade Report Card
3rd rowPunctuality
4th rowFinal 4th Grade Report Card: 45%
5th rowAttendance at an Open House/School Tour
ValueCountFrequency (%)
grade 57
 
10.7%
4th 56
 
10.5%
final 52
 
9.8%
report 52
 
9.8%
card 52
 
9.8%
attendance 27
 
5.1%
entrance 12
 
2.3%
10 12
 
2.3%
45 12
 
2.3%
interview 12
 
2.3%
Other values (66) 189
35.5%
2023-12-09T22:28:48.164577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
12.3%
a 281
 
8.6%
t 275
 
8.4%
e 275
 
8.4%
r 235
 
7.2%
n 223
 
6.8%
d 151
 
4.6%
i 132
 
4.1%
o 110
 
3.4%
p 72
 
2.2%
Other values (45) 1103
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2187
67.1%
Uppercase Letter 436
 
13.4%
Space Separator 402
 
12.3%
Decimal Number 138
 
4.2%
Other Punctuation 93
 
2.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 281
12.8%
t 275
12.6%
e 275
12.6%
r 235
10.7%
n 223
10.2%
d 151
6.9%
i 132
 
6.0%
o 110
 
5.0%
p 72
 
3.3%
s 72
 
3.3%
Other values (13) 361
16.5%
Uppercase Letter
ValueCountFrequency (%)
G 59
13.5%
A 56
12.8%
C 54
12.4%
R 53
12.2%
F 53
12.2%
E 35
8.0%
S 23
 
5.3%
L 19
 
4.4%
P 16
 
3.7%
I 13
 
3.0%
Other values (9) 55
12.6%
Decimal Number
ValueCountFrequency (%)
4 71
51.4%
5 25
 
18.1%
0 17
 
12.3%
1 13
 
9.4%
2 11
 
8.0%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 41
44.1%
% 40
43.0%
. 6
 
6.5%
/ 4
 
4.3%
& 2
 
2.2%
Space Separator
ValueCountFrequency (%)
402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2623
80.5%
Common 636
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 281
 
10.7%
t 275
 
10.5%
e 275
 
10.5%
r 235
 
9.0%
n 223
 
8.5%
d 151
 
5.8%
i 132
 
5.0%
o 110
 
4.2%
p 72
 
2.7%
s 72
 
2.7%
Other values (32) 797
30.4%
Common
ValueCountFrequency (%)
402
63.2%
4 71
 
11.2%
: 41
 
6.4%
% 40
 
6.3%
5 25
 
3.9%
0 17
 
2.7%
1 13
 
2.0%
2 11
 
1.7%
. 6
 
0.9%
/ 4
 
0.6%
Other values (3) 6
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
 
12.3%
a 281
 
8.6%
t 275
 
8.4%
e 275
 
8.4%
r 235
 
7.2%
n 223
 
6.8%
d 151
 
4.6%
i 132
 
4.1%
o 110
 
3.4%
p 72
 
2.2%
Other values (45) 1103
33.8%
Distinct27
Distinct (%)29.3%
Missing382
Missing (%)80.6%
Memory size19.2 KiB
2023-12-09T22:28:48.438022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length92
Median length39
Mean length21.67391304
Min length1

Characters and Unicode

Total characters1994
Distinct characters56
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)16.3%

Sample

1st rowPunctuality
2nd rowPunctuality: 5%
3rd rowEntrance Exam
4th rowEntrance Assessment
5th rowEntrance Assessment
ValueCountFrequency (%)
grade 34
10.8%
4th 34
10.8%
report 33
10.4%
card 33
10.4%
final 32
 
10.1%
punctuality 24
 
7.6%
5 15
 
4.7%
interview 10
 
3.2%
40 10
 
3.2%
writing 10
 
3.2%
Other values (48) 81
25.6%
2023-12-09T22:28:48.833945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
 
11.2%
t 169
 
8.5%
a 166
 
8.3%
r 145
 
7.3%
e 135
 
6.8%
n 123
 
6.2%
i 108
 
5.4%
d 75
 
3.8%
l 70
 
3.5%
u 56
 
2.8%
Other values (46) 723
36.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1363
68.4%
Uppercase Letter 235
 
11.8%
Space Separator 224
 
11.2%
Decimal Number 92
 
4.6%
Other Punctuation 78
 
3.9%
Dash Punctuation 1
 
0.1%
Format 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 169
12.4%
a 166
12.2%
r 145
10.6%
e 135
9.9%
n 123
9.0%
i 108
7.9%
d 75
 
5.5%
l 70
 
5.1%
u 56
 
4.1%
o 52
 
3.8%
Other values (13) 264
19.4%
Uppercase Letter
ValueCountFrequency (%)
G 35
14.9%
F 33
14.0%
C 33
14.0%
R 33
14.0%
P 30
12.8%
E 13
 
5.5%
A 13
 
5.5%
W 11
 
4.7%
I 10
 
4.3%
S 7
 
3.0%
Other values (9) 17
7.2%
Decimal Number
ValueCountFrequency (%)
4 49
53.3%
5 24
26.1%
0 12
 
13.0%
3 5
 
5.4%
2 1
 
1.1%
1 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
% 37
47.4%
: 35
44.9%
. 3
 
3.8%
, 2
 
2.6%
/ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Format
ValueCountFrequency (%)
 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1598
80.1%
Common 396
 
19.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 169
 
10.6%
a 166
 
10.4%
r 145
 
9.1%
e 135
 
8.4%
n 123
 
7.7%
i 108
 
6.8%
d 75
 
4.7%
l 70
 
4.4%
u 56
 
3.5%
o 52
 
3.3%
Other values (32) 499
31.2%
Common
ValueCountFrequency (%)
224
56.6%
4 49
 
12.4%
% 37
 
9.3%
: 35
 
8.8%
5 24
 
6.1%
0 12
 
3.0%
3 5
 
1.3%
. 3
 
0.8%
, 2
 
0.5%
2 1
 
0.3%
Other values (4) 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1993
99.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
224
 
11.2%
t 169
 
8.5%
a 166
 
8.3%
r 145
 
7.3%
e 135
 
6.8%
n 123
 
6.2%
i 108
 
5.4%
d 75
 
3.8%
l 70
 
3.5%
u 56
 
2.8%
Other values (45) 722
36.2%
None
ValueCountFrequency (%)
 1
100.0%
Distinct12
Distinct (%)41.4%
Missing445
Missing (%)93.9%
Memory size16.1 KiB
2023-12-09T22:28:49.060176image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length58
Median length28
Mean length16.96551724
Min length1

Characters and Unicode

Total characters492
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)24.1%

Sample

1st rowFinal 4th Grade Report Card
2nd rowFinal 4th Grade Report Card
3rd rowPunctuality
4th row.
5th row.
ValueCountFrequency (%)
interview 9
12.9%
final 5
 
7.1%
4th 5
 
7.1%
grade 5
 
7.1%
report 5
 
7.1%
card 5
 
7.1%
punctuality 5
 
7.1%
4
 
5.7%
writing 4
 
5.7%
assignment 3
 
4.3%
Other values (15) 20
28.6%
2023-12-09T22:28:49.425161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 47
 
9.6%
n 46
 
9.3%
e 44
 
8.9%
i 42
 
8.5%
41
 
8.3%
r 33
 
6.7%
a 30
 
6.1%
s 16
 
3.3%
c 14
 
2.8%
d 13
 
2.6%
Other values (32) 166
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 375
76.2%
Uppercase Letter 60
 
12.2%
Space Separator 41
 
8.3%
Other Punctuation 10
 
2.0%
Decimal Number 6
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 47
12.5%
n 46
12.3%
e 44
11.7%
i 42
11.2%
r 33
8.8%
a 30
 
8.0%
s 16
 
4.3%
c 14
 
3.7%
d 13
 
3.5%
u 11
 
2.9%
Other values (12) 79
21.1%
Uppercase Letter
ValueCountFrequency (%)
I 9
15.0%
A 8
13.3%
R 6
10.0%
G 6
10.0%
P 6
10.0%
F 5
8.3%
C 5
8.3%
E 5
8.3%
W 4
6.7%
S 3
 
5.0%
Other values (2) 3
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 3
30.0%
, 3
30.0%
: 2
20.0%
& 1
 
10.0%
% 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
4 5
83.3%
5 1
 
16.7%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 435
88.4%
Common 57
 
11.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 47
 
10.8%
n 46
 
10.6%
e 44
 
10.1%
i 42
 
9.7%
r 33
 
7.6%
a 30
 
6.9%
s 16
 
3.7%
c 14
 
3.2%
d 13
 
3.0%
u 11
 
2.5%
Other values (24) 139
32.0%
Common
ValueCountFrequency (%)
41
71.9%
4 5
 
8.8%
. 3
 
5.3%
, 3
 
5.3%
: 2
 
3.5%
& 1
 
1.8%
5 1
 
1.8%
% 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 47
 
9.6%
n 46
 
9.3%
e 44
 
8.9%
i 42
 
8.5%
41
 
8.3%
r 33
 
6.7%
a 30
 
6.1%
s 16
 
3.3%
c 14
 
2.8%
d 13
 
2.6%
Other values (32) 166
33.7%
Distinct7
Distinct (%)5.7%
Missing352
Missing (%)74.3%
Memory size18.3 KiB
2023-12-09T22:28:49.618894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length110
Median length1
Mean length2.901639344
Min length1

Characters and Unicode

Total characters354
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)3.3%

Sample

1st row.
2nd rowInterview
3rd rowInterview
4th row.
5th row.
ValueCountFrequency (%)
114
76.5%
interview 3
 
2.0%
writing 2
 
1.3%
assignment 2
 
1.3%
priority 2
 
1.3%
to 2
 
1.3%
of 2
 
1.3%
the 2
 
1.3%
students 2
 
1.3%
order 1
 
0.7%
Other values (17) 17
 
11.4%
2023-12-09T22:28:49.930756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 115
32.5%
27
 
7.6%
t 23
 
6.5%
e 21
 
5.9%
i 20
 
5.6%
r 18
 
5.1%
n 16
 
4.5%
s 13
 
3.7%
o 13
 
3.7%
l 8
 
2.3%
Other values (24) 80
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 192
54.2%
Other Punctuation 116
32.8%
Space Separator 27
 
7.6%
Uppercase Letter 19
 
5.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 23
12.0%
e 21
10.9%
i 20
10.4%
r 18
 
9.4%
n 16
 
8.3%
s 13
 
6.8%
o 13
 
6.8%
l 8
 
4.2%
g 7
 
3.6%
d 6
 
3.1%
Other values (11) 47
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 4
21.1%
I 3
15.8%
A 3
15.8%
W 2
10.5%
P 2
10.5%
N 1
 
5.3%
Y 1
 
5.3%
E 1
 
5.3%
L 1
 
5.3%
T 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 115
99.1%
, 1
 
0.9%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 211
59.6%
Common 143
40.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 23
 
10.9%
e 21
 
10.0%
i 20
 
9.5%
r 18
 
8.5%
n 16
 
7.6%
s 13
 
6.2%
o 13
 
6.2%
l 8
 
3.8%
g 7
 
3.3%
d 6
 
2.8%
Other values (21) 66
31.3%
Common
ValueCountFrequency (%)
. 115
80.4%
27
 
18.9%
, 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 115
32.5%
27
 
7.6%
t 23
 
6.5%
e 21
 
5.9%
i 20
 
5.6%
r 18
 
5.1%
n 16
 
4.5%
s 13
 
3.7%
o 13
 
3.7%
l 8
 
2.3%
Other values (24) 80
22.6%
Distinct3
Distinct (%)1.0%
Missing160
Missing (%)33.8%
Memory size22.9 KiB
2023-12-09T22:28:50.068320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length1
Mean length1.054140127
Min length1

Characters and Unicode

Total characters331
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th rowPunctuality
ValueCountFrequency (%)
312
99.4%
punctuality 1
 
0.3%
exercise 1
 
0.3%
2023-12-09T22:28:50.696972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 312
94.3%
u 2
 
0.6%
c 2
 
0.6%
t 2
 
0.6%
i 2
 
0.6%
e 2
 
0.6%
P 1
 
0.3%
n 1
 
0.3%
a 1
 
0.3%
l 1
 
0.3%
Other values (5) 5
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 312
94.3%
Lowercase Letter 17
 
5.1%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 2
11.8%
c 2
11.8%
t 2
11.8%
i 2
11.8%
e 2
11.8%
n 1
5.9%
a 1
5.9%
l 1
5.9%
y 1
5.9%
x 1
5.9%
Other values (2) 2
11.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
E 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
94.3%
Latin 19
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 2
10.5%
c 2
10.5%
t 2
10.5%
i 2
10.5%
e 2
10.5%
P 1
 
5.3%
n 1
 
5.3%
a 1
 
5.3%
l 1
 
5.3%
y 1
 
5.3%
Other values (4) 4
21.1%
Common
ValueCountFrequency (%)
. 312
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 331
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 312
94.3%
u 2
 
0.6%
c 2
 
0.6%
t 2
 
0.6%
i 2
 
0.6%
e 2
 
0.6%
P 1
 
0.3%
n 1
 
0.3%
a 1
 
0.3%
l 1
 
0.3%
Other values (5) 5
 
1.5%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:28:50.797714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:28:51.001193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:28:51.102013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:28:51.309139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:28:51.409042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:28:51.617180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:28:51.717073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:28:51.927366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

revealed_prog1
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:28:52.029027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:28:52.240188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

code_prog2
Text

MISSING 

Distinct115
Distinct (%)97.5%
Missing356
Missing (%)75.1%
Memory size18.4 KiB
2023-12-09T22:28:52.628526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.06779661
Min length1

Characters and Unicode

Total characters598
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)95.8%

Sample

1st rowK201Z
2nd rowQ005U
3rd rowQ073M
4th rowQ077U
5th rowQ093U
ValueCountFrequency (%)
3
 
2.5%
programs 2
 
1.7%
talent 2
 
1.7%
q109a 1
 
0.8%
x298u 1
 
0.8%
k562m 1
 
0.8%
r002z 1
 
0.8%
k340l 1
 
0.8%
q230z 1
 
0.8%
q141z 1
 
0.8%
Other values (106) 106
88.3%
2023-12-09T22:28:53.164165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 56
 
9.4%
1 55
 
9.2%
0 52
 
8.7%
K 46
 
7.7%
Z 39
 
6.5%
U 33
 
5.5%
3 31
 
5.2%
8 30
 
5.0%
4 30
 
5.0%
7 28
 
4.7%
Other values (27) 198
33.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 339
56.7%
Uppercase Letter 230
38.5%
Lowercase Letter 24
 
4.0%
Other Punctuation 3
 
0.5%
Space Separator 2
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 46
20.0%
Z 39
17.0%
U 33
14.3%
M 27
11.7%
X 24
10.4%
Q 23
10.0%
N 10
 
4.3%
S 8
 
3.5%
R 7
 
3.0%
L 3
 
1.3%
Other values (5) 10
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 56
16.5%
1 55
16.2%
0 52
15.3%
3 31
9.1%
8 30
8.8%
4 30
8.8%
7 28
8.3%
9 22
 
6.5%
6 19
 
5.6%
5 16
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
r 4
16.7%
a 4
16.7%
s 2
8.3%
m 2
8.3%
g 2
8.3%
o 2
8.3%
t 2
8.3%
n 2
8.3%
e 2
8.3%
l 2
8.3%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 344
57.5%
Latin 254
42.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 46
18.1%
Z 39
15.4%
U 33
13.0%
M 27
10.6%
X 24
9.4%
Q 23
9.1%
N 10
 
3.9%
S 8
 
3.1%
R 7
 
2.8%
r 4
 
1.6%
Other values (15) 33
13.0%
Common
ValueCountFrequency (%)
2 56
16.3%
1 55
16.0%
0 52
15.1%
3 31
9.0%
8 30
8.7%
4 30
8.7%
7 28
8.1%
9 22
 
6.4%
6 19
 
5.5%
5 16
 
4.7%
Other values (2) 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 56
 
9.4%
1 55
 
9.2%
0 52
 
8.7%
K 46
 
7.7%
Z 39
 
6.5%
U 33
 
5.5%
3 31
 
5.2%
8 30
 
5.0%
4 30
 
5.0%
7 28
 
4.7%
Other values (27) 198
33.1%

name_prog2
Text

MISSING 

Distinct94
Distinct (%)79.7%
Missing356
Missing (%)75.1%
Memory size21.4 KiB
2023-12-09T22:28:53.525714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length79
Median length52.5
Mean length31.20338983
Min length1

Characters and Unicode

Total characters3682
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)75.4%

Sample

1st rowZoned Program
2nd rowWalter H. Crowley Leadership Program
3rd rowI.S. 73 Spanish Dual Language Program
4th rowI.S. 77
5th rowI.S. 93 Ridgewood
ValueCountFrequency (%)
program 61
 
10.7%
zoned 34
 
5.9%
school 24
 
4.2%
i.s 19
 
3.3%
16
 
2.8%
the 15
 
2.6%
m.s 13
 
2.3%
language 11
 
1.9%
dual 11
 
1.9%
academy 10
 
1.7%
Other values (239) 358
62.6%
2023-12-09T22:28:54.080303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
454
 
12.3%
e 254
 
6.9%
r 248
 
6.7%
o 244
 
6.6%
a 244
 
6.6%
n 171
 
4.6%
. 129
 
3.5%
i 124
 
3.4%
S 120
 
3.3%
t 117
 
3.2%
Other values (57) 1577
42.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2275
61.8%
Uppercase Letter 563
 
15.3%
Space Separator 454
 
12.3%
Other Punctuation 160
 
4.3%
Decimal Number 159
 
4.3%
Open Punctuation 35
 
1.0%
Close Punctuation 35
 
1.0%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 254
11.2%
r 248
10.9%
o 244
10.7%
a 244
10.7%
n 171
 
7.5%
i 124
 
5.5%
t 117
 
5.1%
g 115
 
5.1%
d 114
 
5.0%
l 110
 
4.8%
Other values (14) 534
23.5%
Uppercase Letter
ValueCountFrequency (%)
S 120
21.3%
P 87
15.5%
M 51
9.1%
Z 35
 
6.2%
A 35
 
6.2%
L 30
 
5.3%
I 29
 
5.2%
T 26
 
4.6%
H 25
 
4.4%
D 18
 
3.2%
Other values (14) 107
19.0%
Decimal Number
ValueCountFrequency (%)
2 30
18.9%
1 25
15.7%
9 16
10.1%
8 16
10.1%
3 15
9.4%
4 13
8.2%
7 12
 
7.5%
0 12
 
7.5%
6 10
 
6.3%
5 10
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 129
80.6%
& 12
 
7.5%
: 10
 
6.2%
/ 5
 
3.1%
, 4
 
2.5%
Space Separator
ValueCountFrequency (%)
454
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2838
77.1%
Common 844
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 254
 
8.9%
r 248
 
8.7%
o 244
 
8.6%
a 244
 
8.6%
n 171
 
6.0%
i 124
 
4.4%
S 120
 
4.2%
t 117
 
4.1%
g 115
 
4.1%
d 114
 
4.0%
Other values (38) 1087
38.3%
Common
ValueCountFrequency (%)
454
53.8%
. 129
 
15.3%
( 35
 
4.1%
) 35
 
4.1%
2 30
 
3.6%
1 25
 
3.0%
9 16
 
1.9%
8 16
 
1.9%
3 15
 
1.8%
4 13
 
1.5%
Other values (9) 76
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3682
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
454
 
12.3%
e 254
 
6.9%
r 248
 
6.7%
o 244
 
6.6%
a 244
 
6.6%
n 171
 
4.6%
. 129
 
3.5%
i 124
 
3.4%
S 120
 
3.3%
t 117
 
3.2%
Other values (57) 1577
42.8%
Distinct8
Distinct (%)6.8%
Missing356
Missing (%)75.1%
Memory size18.6 KiB
2023-12-09T22:28:54.279830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.13559322
Min length1

Characters and Unicode

Total characters842
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowZoned
2nd rowOpen
3rd rowScreened: Language
4th rowOpen
5th rowOpen
ValueCountFrequency (%)
zoned 39
28.1%
open 37
26.6%
screened 30
21.6%
language 12
 
8.6%
composite 4
 
2.9%
score 4
 
2.9%
3
 
2.2%
limited 3
 
2.2%
unscreened 3
 
2.2%
talent 2
 
1.4%
2023-12-09T22:28:54.601511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 202
24.0%
n 126
15.0%
d 75
 
8.9%
o 51
 
6.1%
p 41
 
4.9%
Z 39
 
4.6%
O 37
 
4.4%
c 37
 
4.4%
r 37
 
4.4%
S 34
 
4.0%
Other values (15) 163
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 670
79.6%
Uppercase Letter 136
 
16.2%
Space Separator 21
 
2.5%
Other Punctuation 15
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 202
30.1%
n 126
18.8%
d 75
 
11.2%
o 51
 
7.6%
p 41
 
6.1%
c 37
 
5.5%
r 37
 
5.5%
a 26
 
3.9%
g 24
 
3.6%
u 12
 
1.8%
Other values (5) 39
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
Z 39
28.7%
O 37
27.2%
S 34
25.0%
L 15
 
11.0%
C 4
 
2.9%
T 4
 
2.9%
U 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
: 12
80.0%
. 3
 
20.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 806
95.7%
Common 36
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 202
25.1%
n 126
15.6%
d 75
 
9.3%
o 51
 
6.3%
p 41
 
5.1%
Z 39
 
4.8%
O 37
 
4.6%
c 37
 
4.6%
r 37
 
4.6%
S 34
 
4.2%
Other values (12) 127
15.8%
Common
ValueCountFrequency (%)
21
58.3%
: 12
33.3%
. 3
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 202
24.0%
n 126
15.0%
d 75
 
8.9%
o 51
 
6.1%
p 41
 
4.9%
Z 39
 
4.6%
O 37
 
4.4%
c 37
 
4.4%
r 37
 
4.4%
S 34
 
4.0%
Other values (15) 163
19.4%

geapps_prog2
Text

MISSING 

Distinct63
Distinct (%)86.3%
Missing401
Missing (%)84.6%
Memory size16.9 KiB
2023-12-09T22:28:54.888541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.808219178
Min length1

Characters and Unicode

Total characters205
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)75.3%

Sample

1st row473
2nd row434
3rd row228
4th row301
5th row274
ValueCountFrequency (%)
3
 
4.1%
64 3
 
4.1%
146 2
 
2.7%
77 2
 
2.7%
274 2
 
2.7%
173 2
 
2.7%
309 2
 
2.7%
249 2
 
2.7%
144 1
 
1.4%
226 1
 
1.4%
Other values (53) 53
72.6%
2023-12-09T22:28:55.307234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 33
16.1%
1 30
14.6%
4 26
12.7%
3 20
9.8%
9 19
9.3%
7 19
9.3%
6 16
7.8%
5 14
6.8%
0 13
 
6.3%
8 12
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
98.5%
Other Punctuation 3
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 33
16.3%
1 30
14.9%
4 26
12.9%
3 20
9.9%
9 19
9.4%
7 19
9.4%
6 16
7.9%
5 14
6.9%
0 13
 
6.4%
8 12
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 33
16.1%
1 30
14.6%
4 26
12.7%
3 20
9.8%
9 19
9.3%
7 19
9.3%
6 16
7.8%
5 14
6.8%
0 13
 
6.3%
8 12
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 205
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 33
16.1%
1 30
14.6%
4 26
12.7%
3 20
9.8%
9 19
9.3%
7 19
9.3%
6 16
7.8%
5 14
6.8%
0 13
 
6.3%
8 12
 
5.9%

swdapps_prog2
Text

MISSING 

Distinct53
Distinct (%)72.6%
Missing401
Missing (%)84.6%
Memory size16.9 KiB
2023-12-09T22:28:55.565393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.068493151
Min length1

Characters and Unicode

Total characters151
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)54.8%

Sample

1st row81
2nd row64
3rd row73
4th row92
5th row68
ValueCountFrequency (%)
23 6
 
8.2%
41 3
 
4.1%
3
 
4.1%
73 3
 
4.1%
67 2
 
2.7%
64 2
 
2.7%
20 2
 
2.7%
34 2
 
2.7%
19 2
 
2.7%
57 2
 
2.7%
Other values (43) 46
63.0%
2023-12-09T22:28:55.960961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 26
17.2%
6 21
13.9%
1 19
12.6%
2 17
11.3%
7 15
9.9%
4 14
9.3%
9 10
 
6.6%
0 10
 
6.6%
8 8
 
5.3%
5 8
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148
98.0%
Other Punctuation 3
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 26
17.6%
6 21
14.2%
1 19
12.8%
2 17
11.5%
7 15
10.1%
4 14
9.5%
9 10
 
6.8%
0 10
 
6.8%
8 8
 
5.4%
5 8
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 151
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 26
17.2%
6 21
13.9%
1 19
12.6%
2 17
11.3%
7 15
9.9%
4 14
9.3%
9 10
 
6.6%
0 10
 
6.6%
8 8
 
5.3%
5 8
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 26
17.2%
6 21
13.9%
1 19
12.6%
2 17
11.3%
7 15
9.9%
4 14
9.3%
9 10
 
6.6%
0 10
 
6.6%
8 8
 
5.3%
5 8
 
5.3%

geappsperseat_prog2
Text

MISSING 

Distinct18
Distinct (%)24.7%
Missing401
Missing (%)84.6%
Memory size16.8 KiB
2023-12-09T22:28:56.135943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.164383562
Min length1

Characters and Unicode

Total characters85
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)11.0%

Sample

1st row4
2nd row17
3rd row3
4th row3
5th row6
ValueCountFrequency (%)
3 15
20.5%
2 12
16.4%
4 10
13.7%
1 7
9.6%
6 7
9.6%
5 4
 
5.5%
12 3
 
4.1%
3
 
4.1%
10 2
 
2.7%
17 2
 
2.7%
Other values (8) 8
11.0%
2023-12-09T22:28:56.425638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
21.2%
1 18
21.2%
3 16
18.8%
4 10
11.8%
6 8
9.4%
5 4
 
4.7%
. 3
 
3.5%
7 3
 
3.5%
0 3
 
3.5%
8 1
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82
96.5%
Other Punctuation 3
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
22.0%
1 18
22.0%
3 16
19.5%
4 10
12.2%
6 8
9.8%
5 4
 
4.9%
7 3
 
3.7%
0 3
 
3.7%
8 1
 
1.2%
9 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
21.2%
1 18
21.2%
3 16
18.8%
4 10
11.8%
6 8
9.4%
5 4
 
4.7%
. 3
 
3.5%
7 3
 
3.5%
0 3
 
3.5%
8 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
21.2%
1 18
21.2%
3 16
18.8%
4 10
11.8%
6 8
9.4%
5 4
 
4.7%
. 3
 
3.5%
7 3
 
3.5%
0 3
 
3.5%
8 1
 
1.2%

swdappsperseat_prog2
Text

MISSING 

Distinct15
Distinct (%)20.5%
Missing401
Missing (%)84.6%
Memory size16.8 KiB
2023-12-09T22:28:56.584897image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.123287671
Min length1

Characters and Unicode

Total characters82
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)6.8%

Sample

1st row3
2nd row13
3rd row4
4th row4
5th row4
ValueCountFrequency (%)
3 17
23.3%
2 14
19.2%
4 14
19.2%
5 6
 
8.2%
1 4
 
5.5%
6 4
 
5.5%
3
 
4.1%
12 2
 
2.7%
10 2
 
2.7%
11 2
 
2.7%
Other values (5) 5
 
6.8%
2023-12-09T22:28:56.872255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 18
22.0%
2 18
22.0%
4 15
18.3%
1 14
17.1%
5 6
 
7.3%
6 4
 
4.9%
. 3
 
3.7%
0 2
 
2.4%
9 1
 
1.2%
7 1
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
96.3%
Other Punctuation 3
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 18
22.8%
2 18
22.8%
4 15
19.0%
1 14
17.7%
5 6
 
7.6%
6 4
 
5.1%
0 2
 
2.5%
9 1
 
1.3%
7 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 18
22.0%
2 18
22.0%
4 15
18.3%
1 14
17.1%
5 6
 
7.3%
6 4
 
4.9%
. 3
 
3.7%
0 2
 
2.4%
9 1
 
1.2%
7 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 18
22.0%
2 18
22.0%
4 15
18.3%
1 14
17.1%
5 6
 
7.3%
6 4
 
4.9%
. 3
 
3.7%
0 2
 
2.4%
9 1
 
1.2%
7 1
 
1.2%

swdseats_prog2
Text

MISSING 

Distinct33
Distinct (%)44.0%
Missing399
Missing (%)84.2%
Memory size16.9 KiB
2023-12-09T22:28:57.061780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.626666667
Min length1

Characters and Unicode

Total characters122
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)24.0%

Sample

1st row30
2nd row5
3rd row17
4th row24
5th row17
ValueCountFrequency (%)
6 13
17.3%
12 7
 
9.3%
5 5
 
6.7%
17 4
 
5.3%
21 4
 
5.3%
3
 
4.0%
14 3
 
4.0%
9 3
 
4.0%
10 3
 
4.0%
24 2
 
2.7%
Other values (23) 28
37.3%
2023-12-09T22:28:57.391620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 34
27.9%
2 19
15.6%
6 17
13.9%
5 12
 
9.8%
4 11
 
9.0%
3 8
 
6.6%
7 6
 
4.9%
9 5
 
4.1%
0 5
 
4.1%
. 3
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 119
97.5%
Other Punctuation 3
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 34
28.6%
2 19
16.0%
6 17
14.3%
5 12
 
10.1%
4 11
 
9.2%
3 8
 
6.7%
7 6
 
5.0%
9 5
 
4.2%
0 5
 
4.2%
8 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 34
27.9%
2 19
15.6%
6 17
13.9%
5 12
 
9.8%
4 11
 
9.0%
3 8
 
6.6%
7 6
 
4.9%
9 5
 
4.1%
0 5
 
4.1%
. 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 34
27.9%
2 19
15.6%
6 17
13.9%
5 12
 
9.8%
4 11
 
9.0%
3 8
 
6.6%
7 6
 
4.9%
9 5
 
4.1%
0 5
 
4.1%
. 3
 
2.5%

geseats_prog2
Text

MISSING 

Distinct52
Distinct (%)69.3%
Missing399
Missing (%)84.2%
Memory size16.9 KiB
2023-12-09T22:28:57.628268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.146666667
Min length1

Characters and Unicode

Total characters161
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)53.3%

Sample

1st row120
2nd row25
3rd row70
4th row96
5th row48
ValueCountFrequency (%)
24 9
 
12.0%
25 3
 
4.0%
3
 
4.0%
50 3
 
4.0%
48 3
 
4.0%
96 2
 
2.7%
23 2
 
2.7%
19 2
 
2.7%
66 2
 
2.7%
47 2
 
2.7%
Other values (42) 44
58.7%
2023-12-09T22:28:57.996378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 26
16.1%
2 25
15.5%
9 18
11.2%
1 18
11.2%
5 14
8.7%
7 14
8.7%
6 14
8.7%
8 10
 
6.2%
0 10
 
6.2%
3 9
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
98.1%
Other Punctuation 3
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 26
16.5%
2 25
15.8%
9 18
11.4%
1 18
11.4%
5 14
8.9%
7 14
8.9%
6 14
8.9%
8 10
 
6.3%
0 10
 
6.3%
3 9
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 161
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 26
16.1%
2 25
15.5%
9 18
11.2%
1 18
11.2%
5 14
8.7%
7 14
8.7%
6 14
8.7%
8 10
 
6.2%
0 10
 
6.2%
3 9
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 26
16.1%
2 25
15.5%
9 18
11.2%
1 18
11.2%
5 14
8.7%
7 14
8.7%
6 14
8.7%
8 10
 
6.2%
0 10
 
6.2%
3 9
 
5.6%

gefilled_prog2
Text

MISSING 

Distinct3
Distinct (%)3.9%
Missing397
Missing (%)83.8%
Memory size17.0 KiB
2023-12-09T22:28:58.145979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.402597403
Min length1

Characters and Unicode

Total characters185
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 40
51.9%
yes 34
44.2%
3
 
3.9%
2023-12-09T22:28:58.417420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 40
21.6%
o 40
21.6%
Y 34
18.4%
e 34
18.4%
s 34
18.4%
. 3
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 108
58.4%
Uppercase Letter 74
40.0%
Other Punctuation 3
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 40
37.0%
e 34
31.5%
s 34
31.5%
Uppercase Letter
ValueCountFrequency (%)
N 40
54.1%
Y 34
45.9%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 182
98.4%
Common 3
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 40
22.0%
o 40
22.0%
Y 34
18.7%
e 34
18.7%
s 34
18.7%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 40
21.6%
o 40
21.6%
Y 34
18.4%
e 34
18.4%
s 34
18.4%
. 3
 
1.6%

swdfilled_prog2
Text

MISSING 

Distinct3
Distinct (%)3.9%
Missing397
Missing (%)83.8%
Memory size17.0 KiB
2023-12-09T22:28:58.540777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.519480519
Min length1

Characters and Unicode

Total characters194
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowYes
4th rowYes
5th rowNo
ValueCountFrequency (%)
yes 43
55.8%
no 31
40.3%
3
 
3.9%
2023-12-09T22:28:58.793957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 43
22.2%
e 43
22.2%
s 43
22.2%
N 31
16.0%
o 31
16.0%
. 3
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 117
60.3%
Uppercase Letter 74
38.1%
Other Punctuation 3
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 43
36.8%
s 43
36.8%
o 31
26.5%
Uppercase Letter
ValueCountFrequency (%)
Y 43
58.1%
N 31
41.9%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 191
98.5%
Common 3
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 43
22.5%
e 43
22.5%
s 43
22.5%
N 31
16.2%
o 31
16.2%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 43
22.2%
e 43
22.2%
s 43
22.2%
N 31
16.0%
o 31
16.0%
. 3
 
1.5%

eligibility_prog2
Text

MISSING 

Distinct38
Distinct (%)32.2%
Missing356
Missing (%)75.1%
Memory size22.9 KiB
2023-12-09T22:28:59.049421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length102
Median length89
Mean length44.44067797
Min length1

Characters and Unicode

Total characters5244
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)12.7%

Sample

1st rowOpen to students residing in the zone
2nd rowOpen to 5th grade students at P.S. 16, P.S. 19, and P.S. 143 and students zoned to I.S. 61 or I.S. 311
3rd rowOpen to students and residents of Queens
4th rowOpen to students and residents of District 24
5th rowOpen to students and residents of District 24
ValueCountFrequency (%)
students 122
12.9%
to 116
12.3%
open 115
12.2%
and 84
8.9%
residents 72
 
7.6%
of 72
 
7.6%
district 51
 
5.4%
the 45
 
4.8%
residing 42
 
4.5%
in 42
 
4.5%
Other values (49) 182
19.3%
2023-12-09T22:28:59.447160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
825
15.7%
t 617
11.8%
n 569
10.9%
e 536
10.2%
s 500
9.5%
d 334
 
6.4%
i 326
 
6.2%
o 273
 
5.2%
r 198
 
3.8%
u 133
 
2.5%
Other values (34) 933
17.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4057
77.4%
Space Separator 825
 
15.7%
Uppercase Letter 199
 
3.8%
Decimal Number 141
 
2.7%
Other Punctuation 22
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 617
15.2%
n 569
14.0%
e 536
13.2%
s 500
12.3%
d 334
8.2%
i 326
8.0%
o 273
6.7%
r 198
 
4.9%
u 133
 
3.3%
p 115
 
2.8%
Other values (11) 456
11.2%
Decimal Number
ValueCountFrequency (%)
1 42
29.8%
2 32
22.7%
5 12
 
8.5%
0 11
 
7.8%
3 10
 
7.1%
7 9
 
6.4%
6 8
 
5.7%
4 6
 
4.3%
8 6
 
4.3%
9 5
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
O 115
57.8%
D 56
28.1%
B 14
 
7.0%
S 5
 
2.5%
P 3
 
1.5%
X 2
 
1.0%
I 2
 
1.0%
Q 1
 
0.5%
M 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 14
63.6%
, 7
31.8%
& 1
 
4.5%
Space Separator
ValueCountFrequency (%)
825
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4256
81.2%
Common 988
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 617
14.5%
n 569
13.4%
e 536
12.6%
s 500
11.7%
d 334
7.8%
i 326
7.7%
o 273
6.4%
r 198
 
4.7%
u 133
 
3.1%
O 115
 
2.7%
Other values (20) 655
15.4%
Common
ValueCountFrequency (%)
825
83.5%
1 42
 
4.3%
2 32
 
3.2%
. 14
 
1.4%
5 12
 
1.2%
0 11
 
1.1%
3 10
 
1.0%
7 9
 
0.9%
6 8
 
0.8%
, 7
 
0.7%
Other values (4) 18
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5244
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
825
15.7%
t 617
11.8%
n 569
10.9%
e 536
10.2%
s 500
9.5%
d 334
 
6.4%
i 326
 
6.2%
o 273
 
5.2%
r 198
 
3.8%
u 133
 
2.5%
Other values (34) 933
17.8%

priority1_prog2
Text

MISSING 

Distinct15
Distinct (%)36.6%
Missing433
Missing (%)91.4%
Memory size18.0 KiB
2023-12-09T22:28:59.714370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length168
Median length41
Mean length52.48780488
Min length1

Characters and Unicode

Total characters2152
Distinct characters43
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)29.3%

Sample

1st rowPriority to continuing 5th grade students
2nd rowPriority to students and residents of District 14
3rd rowPriority to students residing in the zone
4th rowPriority to students residing in the zone
5th rowPriority to students and residents of District 17 who sign in at an event
ValueCountFrequency (%)
students 43
 
11.8%
to 40
 
11.0%
priority 38
 
10.4%
in 27
 
7.4%
residing 19
 
5.2%
the 19
 
5.2%
zone 19
 
5.2%
5th 13
 
3.6%
grade 13
 
3.6%
p.s 13
 
3.6%
Other values (51) 121
33.2%
2023-12-09T22:29:00.120473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
324
15.1%
t 240
11.2%
i 195
9.1%
n 184
 
8.6%
s 151
 
7.0%
e 149
 
6.9%
o 143
 
6.6%
r 134
 
6.2%
d 101
 
4.7%
u 59
 
2.7%
Other values (33) 472
21.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1633
75.9%
Space Separator 324
 
15.1%
Uppercase Letter 82
 
3.8%
Decimal Number 58
 
2.7%
Other Punctuation 49
 
2.3%
Dash Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 240
14.7%
i 195
11.9%
n 184
11.3%
s 151
9.2%
e 149
9.1%
o 143
8.8%
r 134
8.2%
d 101
6.2%
u 59
 
3.6%
g 54
 
3.3%
Other values (11) 223
13.7%
Decimal Number
ValueCountFrequency (%)
5 18
31.0%
1 12
20.7%
2 6
 
10.3%
8 5
 
8.6%
4 5
 
8.6%
7 4
 
6.9%
3 4
 
6.9%
0 3
 
5.2%
9 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
P 49
59.8%
S 15
 
18.3%
L 8
 
9.8%
D 6
 
7.3%
E 4
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 31
63.3%
, 15
30.6%
% 2
 
4.1%
/ 1
 
2.0%
Space Separator
ValueCountFrequency (%)
324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1715
79.7%
Common 437
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 240
14.0%
i 195
11.4%
n 184
10.7%
s 151
8.8%
e 149
8.7%
o 143
8.3%
r 134
7.8%
d 101
 
5.9%
u 59
 
3.4%
g 54
 
3.1%
Other values (16) 305
17.8%
Common
ValueCountFrequency (%)
324
74.1%
. 31
 
7.1%
5 18
 
4.1%
, 15
 
3.4%
1 12
 
2.7%
2 6
 
1.4%
8 5
 
1.1%
4 5
 
1.1%
7 4
 
0.9%
3 4
 
0.9%
Other values (7) 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
324
15.1%
t 240
11.2%
i 195
9.1%
n 184
 
8.6%
s 151
 
7.0%
e 149
 
6.9%
o 143
 
6.6%
r 134
 
6.2%
d 101
 
4.7%
u 59
 
2.7%
Other values (33) 472
21.9%

priority2_prog2
Text

MISSING 

Distinct20
Distinct (%)51.3%
Missing435
Missing (%)91.8%
Memory size17.5 KiB
2023-12-09T22:29:00.352051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length55
Mean length42.53846154
Min length1

Characters and Unicode

Total characters1659
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)28.2%

Sample

1st rowThen to students residing in the zone.
2nd rowThen to students and residents of Brooklyn.
3rd rowThen to students and residents of District 17.
4th rowThen to students and residents of District 17.
5th rowThen to students and residents of District 17.
ValueCountFrequency (%)
then 36
12.5%
to 36
12.5%
students 35
12.1%
and 27
9.3%
residents 27
9.3%
of 26
9.0%
district 22
7.6%
the 10
 
3.5%
residing 9
 
3.1%
in 9
 
3.1%
Other values (20) 52
18.0%
2023-12-09T22:29:00.711370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
15.1%
t 196
11.8%
e 169
10.2%
s 163
9.8%
n 162
9.8%
i 100
 
6.0%
d 99
 
6.0%
o 89
 
5.4%
r 69
 
4.2%
h 51
 
3.1%
Other values (24) 311
18.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1270
76.6%
Space Separator 250
 
15.1%
Uppercase Letter 63
 
3.8%
Decimal Number 41
 
2.5%
Other Punctuation 35
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 196
15.4%
e 169
13.3%
s 163
12.8%
n 162
12.8%
i 100
7.9%
d 99
7.8%
o 89
7.0%
r 69
 
5.4%
h 51
 
4.0%
u 36
 
2.8%
Other values (10) 136
10.7%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
2 11
26.8%
8 5
12.2%
7 5
12.2%
6 3
 
7.3%
0 2
 
4.9%
5 1
 
2.4%
3 1
 
2.4%
9 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
T 36
57.1%
D 23
36.5%
B 4
 
6.3%
Space Separator
ValueCountFrequency (%)
250
100.0%
Other Punctuation
ValueCountFrequency (%)
. 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1333
80.3%
Common 326
 
19.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 196
14.7%
e 169
12.7%
s 163
12.2%
n 162
12.2%
i 100
7.5%
d 99
7.4%
o 89
6.7%
r 69
 
5.2%
h 51
 
3.8%
T 36
 
2.7%
Other values (13) 199
14.9%
Common
ValueCountFrequency (%)
250
76.7%
. 35
 
10.7%
1 12
 
3.7%
2 11
 
3.4%
8 5
 
1.5%
7 5
 
1.5%
6 3
 
0.9%
0 2
 
0.6%
5 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1659
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
15.1%
t 196
11.8%
e 169
10.2%
s 163
9.8%
n 162
9.8%
i 100
 
6.0%
d 99
 
6.0%
o 89
 
5.4%
r 69
 
4.2%
h 51
 
3.1%
Other values (24) 311
18.7%

priority3_prog2
Text

MISSING 

Distinct3
Distinct (%)1.0%
Missing172
Missing (%)36.3%
Memory size22.7 KiB
2023-12-09T22:29:00.859020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length48
Median length1
Mean length1.301324503
Min length1

Characters and Unicode

Total characters393
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
300
94.6%
then 2
 
0.6%
to 2
 
0.6%
students 2
 
0.6%
and 2
 
0.6%
residents 2
 
0.6%
of 2
 
0.6%
district 2
 
0.6%
4 1
 
0.3%
the 1
 
0.3%
2023-12-09T22:29:01.143376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 301
76.6%
15
 
3.8%
t 13
 
3.3%
s 10
 
2.5%
e 9
 
2.3%
n 8
 
2.0%
d 6
 
1.5%
i 6
 
1.5%
o 4
 
1.0%
r 4
 
1.0%
Other values (9) 17
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 301
76.6%
Lowercase Letter 71
 
18.1%
Space Separator 15
 
3.8%
Uppercase Letter 4
 
1.0%
Decimal Number 2
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 13
18.3%
s 10
14.1%
e 9
12.7%
n 8
11.3%
d 6
8.5%
i 6
8.5%
o 4
 
5.6%
r 4
 
5.6%
h 3
 
4.2%
f 2
 
2.8%
Other values (3) 6
8.5%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
T 2
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
9 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 301
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 318
80.9%
Latin 75
 
19.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 13
17.3%
s 10
13.3%
e 9
12.0%
n 8
10.7%
d 6
8.0%
i 6
8.0%
o 4
 
5.3%
r 4
 
5.3%
h 3
 
4.0%
f 2
 
2.7%
Other values (5) 10
13.3%
Common
ValueCountFrequency (%)
. 301
94.7%
15
 
4.7%
4 1
 
0.3%
9 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 301
76.6%
15
 
3.8%
t 13
 
3.3%
s 10
 
2.5%
e 9
 
2.3%
n 8
 
2.0%
d 6
 
1.5%
i 6
 
1.5%
o 4
 
1.0%
r 4
 
1.0%
Other values (9) 17
 
4.3%

priority4_prog2
Text

MISSING 

Distinct3
Distinct (%)1.0%
Missing172
Missing (%)36.3%
Memory size22.8 KiB
2023-12-09T22:29:01.330181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length208
Median length1
Mean length1.82781457
Min length1

Characters and Unicode

Total characters552
Distinct characters35
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
300
89.8%
language 5
 
1.5%
of 3
 
0.9%
the 3
 
0.9%
target 2
 
0.6%
and 2
 
0.6%
transitional 1
 
0.3%
residents 1
 
0.3%
students 1
 
0.3%
to 1
 
0.3%
Other values (15) 15
 
4.5%
2023-12-09T22:29:01.635679image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 302
54.7%
32
 
5.8%
a 26
 
4.7%
e 25
 
4.5%
n 20
 
3.6%
t 17
 
3.1%
g 16
 
2.9%
r 13
 
2.4%
s 12
 
2.2%
i 11
 
2.0%
Other values (25) 78
 
14.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 304
55.1%
Lowercase Letter 196
35.5%
Space Separator 32
 
5.8%
Uppercase Letter 17
 
3.1%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 26
13.3%
e 25
12.8%
n 20
10.2%
t 17
8.7%
g 16
8.2%
r 13
 
6.6%
s 12
 
6.1%
i 11
 
5.6%
l 11
 
5.6%
o 10
 
5.1%
Other values (11) 35
17.9%
Uppercase Letter
ValueCountFrequency (%)
L 6
35.3%
E 3
17.6%
T 2
 
11.8%
B 2
 
11.8%
D 1
 
5.9%
H 1
 
5.9%
P 1
 
5.9%
S 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 302
99.3%
, 2
 
0.7%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 339
61.4%
Latin 213
38.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 26
12.2%
e 25
11.7%
n 20
 
9.4%
t 17
 
8.0%
g 16
 
7.5%
r 13
 
6.1%
s 12
 
5.6%
i 11
 
5.2%
l 11
 
5.2%
o 10
 
4.7%
Other values (19) 52
24.4%
Common
ValueCountFrequency (%)
. 302
89.1%
32
 
9.4%
, 2
 
0.6%
- 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 302
54.7%
32
 
5.8%
a 26
 
4.7%
e 25
 
4.5%
n 20
 
3.6%
t 17
 
3.1%
g 16
 
2.9%
r 13
 
2.4%
s 12
 
2.2%
i 11
 
2.0%
Other values (25) 78
 
14.1%

priority5_prog2
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing2
Missing (%)0.4%
Memory size26.9 KiB
2023-12-09T22:29:01.742742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters472
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
472
100.0%
2023-12-09T22:29:01.946517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 472
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 472
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 472
100.0%

priority6_prog2
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing2
Missing (%)0.4%
Memory size26.9 KiB
2023-12-09T22:29:02.045803image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters472
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
472
100.0%
2023-12-09T22:29:02.731621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 472
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 472
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 472
100.0%

priority7_prog2
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing2
Missing (%)0.4%
Memory size26.9 KiB
2023-12-09T22:29:02.830238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters472
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
472
100.0%
2023-12-09T22:29:03.036622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 472
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 472
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 472
100.0%

prefnote_prog2
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing2
Missing (%)0.4%
Memory size26.9 KiB
2023-12-09T22:29:03.134740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters472
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
472
100.0%
2023-12-09T22:29:03.340674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 472
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 472
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 472
100.0%

lowestpriority_prog2
Text

MISSING 

Distinct5
Distinct (%)12.5%
Missing434
Missing (%)91.6%
Memory size18.9 KiB
2023-12-09T22:29:03.572859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length208
Median length67
Mean length76.5
Min length1

Characters and Unicode

Total characters3060
Distinct characters35
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLast year, this program only admitted students from priority group 1.
2nd rowLast year, this program admitted students from all priority groups.
3rd rowLast year, this program admitted students from all priority groups.
4th rowLast year, this program admitted students from all priority groups.
5th rowLast year, this program admitted students from all priority groups.
ValueCountFrequency (%)
last 33
 
7.4%
this 33
 
7.4%
program 33
 
7.4%
admitted 33
 
7.4%
students 33
 
7.4%
from 33
 
7.4%
priority 33
 
7.4%
year 33
 
7.4%
all 26
 
5.9%
groups 26
 
5.9%
Other values (23) 128
28.8%
2023-12-09T22:29:03.929823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
404
13.2%
t 279
 
9.1%
r 275
 
9.0%
a 258
 
8.4%
s 190
 
6.2%
e 179
 
5.8%
i 172
 
5.6%
o 167
 
5.5%
g 130
 
4.2%
p 113
 
3.7%
Other values (25) 893
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2465
80.6%
Space Separator 404
 
13.2%
Uppercase Letter 91
 
3.0%
Other Punctuation 81
 
2.6%
Decimal Number 7
 
0.2%
Dash Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 279
11.3%
r 275
11.2%
a 258
10.5%
s 190
 
7.7%
e 179
 
7.3%
i 172
 
7.0%
o 167
 
6.8%
g 130
 
5.3%
p 113
 
4.6%
m 107
 
4.3%
Other values (10) 595
24.1%
Uppercase Letter
ValueCountFrequency (%)
L 57
62.6%
E 12
 
13.2%
B 4
 
4.4%
T 4
 
4.4%
D 4
 
4.4%
S 4
 
4.4%
H 4
 
4.4%
P 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 41
50.6%
. 40
49.4%
Space Separator
ValueCountFrequency (%)
404
100.0%
Decimal Number
ValueCountFrequency (%)
1 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2556
83.5%
Common 504
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 279
10.9%
r 275
10.8%
a 258
 
10.1%
s 190
 
7.4%
e 179
 
7.0%
i 172
 
6.7%
o 167
 
6.5%
g 130
 
5.1%
p 113
 
4.4%
m 107
 
4.2%
Other values (18) 686
26.8%
Common
ValueCountFrequency (%)
404
80.2%
, 41
 
8.1%
. 40
 
7.9%
1 7
 
1.4%
- 4
 
0.8%
) 4
 
0.8%
( 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
404
13.2%
t 279
 
9.1%
r 275
 
9.0%
a 258
 
8.4%
s 190
 
6.2%
e 179
 
5.8%
i 172
 
5.6%
o 167
 
5.5%
g 130
 
4.2%
p 113
 
3.7%
Other values (25) 893
29.2%
Distinct17
Distinct (%)21.5%
Missing395
Missing (%)83.3%
Memory size23.1 KiB
2023-12-09T22:29:04.201409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length155
Mean length79.16455696
Min length1

Characters and Unicode

Total characters6254
Distinct characters54
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)12.7%

Sample

1st rowStudents who apply to this program will be randomly selected
2nd rowEnglish Language Learners (ELLs), Heritage Language Speakers of the target language, Participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
3rd rowStudents who apply to this program will be randomly selected.
4th rowStudents who apply to this program will be randomly selected
5th rowStudents who apply to this program will be randomly selected
ValueCountFrequency (%)
the 57
 
5.5%
students 43
 
4.1%
to 43
 
4.1%
will 42
 
4.0%
apply 42
 
4.0%
who 42
 
4.0%
selected 42
 
4.0%
be 42
 
4.0%
this 40
 
3.8%
program 40
 
3.8%
Other values (61) 610
58.5%
2023-12-09T22:29:04.602030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
964
15.4%
e 556
 
8.9%
t 485
 
7.8%
a 442
 
7.1%
r 366
 
5.9%
o 359
 
5.7%
l 311
 
5.0%
s 263
 
4.2%
i 250
 
4.0%
n 242
 
3.9%
Other values (44) 2016
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4798
76.7%
Space Separator 964
 
15.4%
Uppercase Letter 373
 
6.0%
Other Punctuation 49
 
0.8%
Decimal Number 47
 
0.8%
Dash Punctuation 7
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Private Use 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 556
11.6%
t 485
 
10.1%
a 442
 
9.2%
r 366
 
7.6%
o 359
 
7.5%
l 311
 
6.5%
s 263
 
5.5%
i 250
 
5.2%
n 242
 
5.0%
d 236
 
4.9%
Other values (13) 1288
26.8%
Uppercase Letter
ValueCountFrequency (%)
S 73
19.6%
E 66
17.7%
L 62
16.6%
A 29
 
7.8%
Y 24
 
6.4%
N 24
 
6.4%
G 23
 
6.2%
M 21
 
5.6%
P 13
 
3.5%
T 10
 
2.7%
Other values (6) 28
 
7.5%
Decimal Number
ValueCountFrequency (%)
4 24
51.1%
1 8
 
17.0%
5 5
 
10.6%
2 4
 
8.5%
0 3
 
6.4%
7 3
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 18
36.7%
, 14
28.6%
: 9
18.4%
% 8
16.3%
Space Separator
ValueCountFrequency (%)
964
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Private Use
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5171
82.7%
Common 1079
 
17.3%
Unknown 4
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 556
 
10.8%
t 485
 
9.4%
a 442
 
8.5%
r 366
 
7.1%
o 359
 
6.9%
l 311
 
6.0%
s 263
 
5.1%
i 250
 
4.8%
n 242
 
4.7%
d 236
 
4.6%
Other values (29) 1661
32.1%
Common
ValueCountFrequency (%)
964
89.3%
4 24
 
2.2%
. 18
 
1.7%
, 14
 
1.3%
: 9
 
0.8%
1 8
 
0.7%
% 8
 
0.7%
- 7
 
0.6%
) 6
 
0.6%
( 6
 
0.6%
Other values (4) 15
 
1.4%
Unknown
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6250
99.9%
PUA 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
964
15.4%
e 556
 
8.9%
t 485
 
7.8%
a 442
 
7.1%
r 366
 
5.9%
o 359
 
5.7%
l 311
 
5.0%
s 263
 
4.2%
i 250
 
4.0%
n 242
 
3.9%
Other values (43) 2012
32.2%
PUA
ValueCountFrequency (%)
4
100.0%
Distinct10
Distinct (%)10.2%
Missing376
Missing (%)79.3%
Memory size18.0 KiB
2023-12-09T22:29:04.781302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length41
Median length1
Mean length6.969387755
Min length1

Characters and Unicode

Total characters683
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)6.1%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
72
46.8%
and 13
 
8.4%
attendance 13
 
8.4%
personal 10
 
6.5%
academic 10
 
6.5%
behaviors 9
 
5.8%
punctuality 3
 
1.9%
york 2
 
1.3%
exam 2
 
1.3%
math 2
 
1.3%
Other values (14) 18
 
11.7%
2023-12-09T22:29:05.098929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 74
 
10.8%
a 69
 
10.1%
e 64
 
9.4%
56
 
8.2%
n 55
 
8.1%
t 42
 
6.1%
d 39
 
5.7%
c 37
 
5.4%
o 27
 
4.0%
i 25
 
3.7%
Other values (33) 195
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 473
69.3%
Other Punctuation 81
 
11.9%
Uppercase Letter 63
 
9.2%
Space Separator 56
 
8.2%
Decimal Number 10
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 69
14.6%
e 64
13.5%
n 55
11.6%
t 42
8.9%
d 39
8.2%
c 37
7.8%
o 27
 
5.7%
i 25
 
5.3%
r 25
 
5.3%
s 20
 
4.2%
Other values (10) 70
14.8%
Uppercase Letter
ValueCountFrequency (%)
A 24
38.1%
P 13
20.6%
B 10
15.9%
S 3
 
4.8%
E 2
 
3.2%
M 2
 
3.2%
Y 2
 
3.2%
N 2
 
3.2%
G 2
 
3.2%
O 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 2
20.0%
5 2
20.0%
2 2
20.0%
4 2
20.0%
7 1
10.0%
0 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 74
91.4%
% 3
 
3.7%
: 3
 
3.7%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 536
78.5%
Common 147
 
21.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 69
12.9%
e 64
11.9%
n 55
10.3%
t 42
 
7.8%
d 39
 
7.3%
c 37
 
6.9%
o 27
 
5.0%
i 25
 
4.7%
r 25
 
4.7%
A 24
 
4.5%
Other values (22) 129
24.1%
Common
ValueCountFrequency (%)
. 74
50.3%
56
38.1%
% 3
 
2.0%
: 3
 
2.0%
1 2
 
1.4%
5 2
 
1.4%
2 2
 
1.4%
4 2
 
1.4%
/ 1
 
0.7%
7 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 74
 
10.8%
a 69
 
10.1%
e 64
 
9.4%
56
 
8.2%
n 55
 
8.1%
t 42
 
6.1%
d 39
 
5.7%
c 37
 
5.4%
o 27
 
4.0%
i 25
 
3.7%
Other values (33) 195
28.6%
Distinct13
Distinct (%)13.3%
Missing376
Missing (%)79.3%
Memory size18.0 KiB
2023-12-09T22:29:05.301884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length92
Median length1
Mean length7.153061224
Min length1

Characters and Unicode

Total characters701
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)8.2%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
72
45.0%
attendance 10
 
6.2%
4th 8
 
5.0%
grade 8
 
5.0%
report 8
 
5.0%
card 8
 
5.0%
final 8
 
5.0%
and 5
 
3.1%
assessment 3
 
1.9%
punctuality 3
 
1.9%
Other values (22) 27
 
16.9%
2023-12-09T22:29:05.636281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 72
 
10.3%
e 66
 
9.4%
62
 
8.8%
n 60
 
8.6%
a 56
 
8.0%
t 55
 
7.8%
r 36
 
5.1%
d 35
 
5.0%
i 28
 
4.0%
c 24
 
3.4%
Other values (33) 207
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 468
66.8%
Other Punctuation 83
 
11.8%
Uppercase Letter 75
 
10.7%
Space Separator 62
 
8.8%
Decimal Number 13
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 66
14.1%
n 60
12.8%
a 56
12.0%
t 55
11.8%
r 36
7.7%
d 35
7.5%
i 28
 
6.0%
c 24
 
5.1%
o 17
 
3.6%
s 17
 
3.6%
Other values (10) 74
15.8%
Uppercase Letter
ValueCountFrequency (%)
A 17
22.7%
C 9
12.0%
G 9
12.0%
P 8
10.7%
F 8
10.7%
R 8
10.7%
L 4
 
5.3%
E 3
 
4.0%
T 3
 
4.0%
D 1
 
1.3%
Other values (5) 5
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 72
86.7%
: 5
 
6.0%
, 3
 
3.6%
% 3
 
3.6%
Decimal Number
ValueCountFrequency (%)
4 9
69.2%
5 3
 
23.1%
1 1
 
7.7%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 543
77.5%
Common 158
 
22.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 66
12.2%
n 60
11.0%
a 56
 
10.3%
t 55
 
10.1%
r 36
 
6.6%
d 35
 
6.4%
i 28
 
5.2%
c 24
 
4.4%
o 17
 
3.1%
s 17
 
3.1%
Other values (25) 149
27.4%
Common
ValueCountFrequency (%)
. 72
45.6%
62
39.2%
4 9
 
5.7%
: 5
 
3.2%
, 3
 
1.9%
5 3
 
1.9%
% 3
 
1.9%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 72
 
10.3%
e 66
 
9.4%
62
 
8.8%
n 60
 
8.6%
a 56
 
8.0%
t 55
 
7.8%
r 36
 
5.1%
d 35
 
5.0%
i 28
 
4.0%
c 24
 
3.4%
Other values (33) 207
29.5%
Distinct13
Distinct (%)13.8%
Missing380
Missing (%)80.2%
Memory size17.8 KiB
2023-12-09T22:29:05.827846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length1
Mean length6.255319149
Min length1

Characters and Unicode

Total characters588
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)9.6%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
72
47.1%
final 9
 
5.9%
4th 9
 
5.9%
grade 9
 
5.9%
report 9
 
5.9%
card 9
 
5.9%
assessment 5
 
3.3%
entrance 4
 
2.6%
punctuality 3
 
2.0%
ela 2
 
1.3%
Other values (21) 22
 
14.4%
2023-12-09T22:29:06.180743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 73
 
12.4%
59
 
10.0%
a 48
 
8.2%
e 45
 
7.7%
t 43
 
7.3%
n 35
 
6.0%
r 35
 
6.0%
s 23
 
3.9%
d 23
 
3.9%
o 17
 
2.9%
Other values (36) 187
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 361
61.4%
Other Punctuation 82
 
13.9%
Uppercase Letter 71
 
12.1%
Space Separator 59
 
10.0%
Decimal Number 15
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 48
13.3%
e 45
12.5%
t 43
11.9%
n 35
9.7%
r 35
9.7%
s 23
 
6.4%
d 23
 
6.4%
o 17
 
4.7%
i 17
 
4.7%
l 14
 
3.9%
Other values (11) 61
16.9%
Uppercase Letter
ValueCountFrequency (%)
A 11
15.5%
C 9
12.7%
G 9
12.7%
F 9
12.7%
R 9
12.7%
E 7
9.9%
P 4
 
5.6%
L 3
 
4.2%
N 2
 
2.8%
S 2
 
2.8%
Other values (6) 6
8.5%
Other Punctuation
ValueCountFrequency (%)
. 73
89.0%
: 5
 
6.1%
% 3
 
3.7%
/ 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
4 10
66.7%
5 3
 
20.0%
1 1
 
6.7%
7 1
 
6.7%
Space Separator
ValueCountFrequency (%)
59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 432
73.5%
Common 156
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 48
 
11.1%
e 45
 
10.4%
t 43
 
10.0%
n 35
 
8.1%
r 35
 
8.1%
s 23
 
5.3%
d 23
 
5.3%
o 17
 
3.9%
i 17
 
3.9%
l 14
 
3.2%
Other values (27) 132
30.6%
Common
ValueCountFrequency (%)
. 73
46.8%
59
37.8%
4 10
 
6.4%
: 5
 
3.2%
% 3
 
1.9%
5 3
 
1.9%
1 1
 
0.6%
/ 1
 
0.6%
7 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 73
 
12.4%
59
 
10.0%
a 48
 
8.2%
e 45
 
7.7%
t 43
 
7.3%
n 35
 
6.0%
r 35
 
6.0%
s 23
 
3.9%
d 23
 
3.9%
o 17
 
2.9%
Other values (36) 187
31.8%
Distinct7
Distinct (%)4.0%
Missing297
Missing (%)62.7%
Memory size19.7 KiB
2023-12-09T22:29:06.352453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length32
Median length1
Mean length2.519774011
Min length1

Characters and Unicode

Total characters446
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
164
77.4%
final 7
 
3.3%
4th 7
 
3.3%
grade 7
 
3.3%
report 7
 
3.3%
card 7
 
3.3%
punctuality 4
 
1.9%
interview 1
 
0.5%
45 1
 
0.5%
5 1
 
0.5%
Other values (6) 6
 
2.8%
2023-12-09T22:29:06.657313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 165
37.0%
35
 
7.8%
a 28
 
6.3%
t 26
 
5.8%
r 23
 
5.2%
e 18
 
4.0%
d 14
 
3.1%
i 12
 
2.7%
n 12
 
2.7%
l 11
 
2.5%
Other values (28) 102
22.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 189
42.4%
Other Punctuation 171
38.3%
Uppercase Letter 38
 
8.5%
Space Separator 35
 
7.8%
Decimal Number 13
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 28
14.8%
t 26
13.8%
r 23
12.2%
e 18
9.5%
d 14
7.4%
i 12
6.3%
n 12
6.3%
l 11
 
5.8%
o 8
 
4.2%
u 8
 
4.2%
Other values (9) 29
15.3%
Uppercase Letter
ValueCountFrequency (%)
G 7
18.4%
R 7
18.4%
C 7
18.4%
F 7
18.4%
P 4
10.5%
I 1
 
2.6%
N 1
 
2.6%
Y 1
 
2.6%
S 1
 
2.6%
M 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
4 8
61.5%
5 3
 
23.1%
1 1
 
7.7%
7 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 165
96.5%
% 3
 
1.8%
: 3
 
1.8%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 227
50.9%
Common 219
49.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 28
12.3%
t 26
 
11.5%
r 23
 
10.1%
e 18
 
7.9%
d 14
 
6.2%
i 12
 
5.3%
n 12
 
5.3%
l 11
 
4.8%
o 8
 
3.5%
u 8
 
3.5%
Other values (20) 67
29.5%
Common
ValueCountFrequency (%)
. 165
75.3%
35
 
16.0%
4 8
 
3.7%
% 3
 
1.4%
5 3
 
1.4%
: 3
 
1.4%
1 1
 
0.5%
7 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 446
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 165
37.0%
35
 
7.8%
a 28
 
6.3%
t 26
 
5.8%
r 23
 
5.2%
e 18
 
4.0%
d 14
 
3.1%
i 12
 
2.7%
n 12
 
2.7%
l 11
 
2.5%
Other values (28) 102
22.9%
Distinct4
Distinct (%)1.3%
Missing158
Missing (%)33.3%
Memory size23.0 KiB
2023-12-09T22:29:06.811693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length25
Median length1
Mean length1.155063291
Min length1

Characters and Unicode

Total characters365
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
313
97.8%
interview 1
 
0.3%
writing 1
 
0.3%
assignment 1
 
0.3%
portfolio 1
 
0.3%
of 1
 
0.3%
student 1
 
0.3%
work 1
 
0.3%
2023-12-09T22:29:07.091145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 313
85.8%
t 6
 
1.6%
i 5
 
1.4%
n 5
 
1.4%
o 5
 
1.4%
4
 
1.1%
r 4
 
1.1%
e 4
 
1.1%
f 2
 
0.5%
W 2
 
0.5%
Other values (13) 15
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 313
85.8%
Lowercase Letter 42
 
11.5%
Uppercase Letter 6
 
1.6%
Space Separator 4
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 6
14.3%
i 5
11.9%
n 5
11.9%
o 5
11.9%
r 4
9.5%
e 4
9.5%
f 2
 
4.8%
g 2
 
4.8%
s 2
 
4.8%
v 1
 
2.4%
Other values (6) 6
14.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
33.3%
S 1
16.7%
P 1
16.7%
A 1
16.7%
I 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 313
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 317
86.8%
Latin 48
 
13.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 6
12.5%
i 5
10.4%
n 5
10.4%
o 5
10.4%
r 4
 
8.3%
e 4
 
8.3%
f 2
 
4.2%
W 2
 
4.2%
g 2
 
4.2%
s 2
 
4.2%
Other values (11) 11
22.9%
Common
ValueCountFrequency (%)
. 313
98.7%
4
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 313
85.8%
t 6
 
1.6%
i 5
 
1.4%
n 5
 
1.4%
o 5
 
1.4%
4
 
1.1%
r 4
 
1.1%
e 4
 
1.1%
f 2
 
0.5%
W 2
 
0.5%
Other values (13) 15
 
4.1%
Distinct2
Distinct (%)0.5%
Missing51
Missing (%)10.8%
Memory size25.7 KiB
2023-12-09T22:29:07.234386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length1
Mean length1.023640662
Min length1

Characters and Unicode

Total characters433
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
422
99.8%
punctuality 1
 
0.2%
2023-12-09T22:29:07.471860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 422
97.5%
u 2
 
0.5%
t 2
 
0.5%
P 1
 
0.2%
n 1
 
0.2%
c 1
 
0.2%
a 1
 
0.2%
l 1
 
0.2%
i 1
 
0.2%
y 1
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 422
97.5%
Lowercase Letter 10
 
2.3%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 2
20.0%
t 2
20.0%
n 1
10.0%
c 1
10.0%
a 1
10.0%
l 1
10.0%
i 1
10.0%
y 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 422
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 422
97.5%
Latin 11
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 2
18.2%
t 2
18.2%
P 1
9.1%
n 1
9.1%
c 1
9.1%
a 1
9.1%
l 1
9.1%
i 1
9.1%
y 1
9.1%
Common
ValueCountFrequency (%)
. 422
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 422
97.5%
u 2
 
0.5%
t 2
 
0.5%
P 1
 
0.2%
n 1
 
0.2%
c 1
 
0.2%
a 1
 
0.2%
l 1
 
0.2%
i 1
 
0.2%
y 1
 
0.2%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:07.570856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:07.775839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:07.875398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:08.084936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:08.186112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:08.394787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:08.495583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:08.702546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:08.800581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:09.006824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

revealed_prog2
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing2
Missing (%)0.4%
Memory size26.9 KiB
2023-12-09T22:29:09.105047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters472
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
472
100.0%
2023-12-09T22:29:09.327936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 472
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 472
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 472
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 472
100.0%

code_prog3
Text

MISSING 

Distinct31
Distinct (%)93.9%
Missing441
Missing (%)93.0%
Memory size15.9 KiB
2023-12-09T22:29:09.537791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.636363636
Min length1

Characters and Unicode

Total characters153
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)90.9%

Sample

1st rowQ005Z
2nd rowQ073U
3rd rowQ077Z
4th rowQ093Z
5th rowR027Z
ValueCountFrequency (%)
3
 
9.1%
x390z 1
 
3.0%
x118z 1
 
3.0%
m131p 1
 
3.0%
k223z 1
 
3.0%
r027z 1
 
3.0%
q204z 1
 
3.0%
k218z 1
 
3.0%
q126z 1
 
3.0%
k068u 1
 
3.0%
Other values (21) 21
63.6%
2023-12-09T22:29:09.895062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
13.1%
Z 18
11.8%
0 15
9.8%
2 13
 
8.5%
8 11
 
7.2%
K 11
 
7.2%
X 9
 
5.9%
7 8
 
5.2%
U 7
 
4.6%
3 7
 
4.6%
Other values (12) 34
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
58.8%
Uppercase Letter 60
39.2%
Other Punctuation 3
 
2.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 18
30.0%
K 11
18.3%
X 9
15.0%
U 7
 
11.7%
Q 7
 
11.7%
R 2
 
3.3%
P 2
 
3.3%
W 1
 
1.7%
S 1
 
1.7%
M 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 20
22.2%
0 15
16.7%
2 13
14.4%
8 11
12.2%
7 8
 
8.9%
3 7
 
7.8%
4 6
 
6.7%
6 6
 
6.7%
5 2
 
2.2%
9 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
60.8%
Latin 60
39.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 20
21.5%
0 15
16.1%
2 13
14.0%
8 11
11.8%
7 8
 
8.6%
3 7
 
7.5%
4 6
 
6.5%
6 6
 
6.5%
. 3
 
3.2%
5 2
 
2.2%
Latin
ValueCountFrequency (%)
Z 18
30.0%
K 11
18.3%
X 9
15.0%
U 7
 
11.7%
Q 7
 
11.7%
R 2
 
3.3%
P 2
 
3.3%
W 1
 
1.7%
S 1
 
1.7%
M 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
13.1%
Z 18
11.8%
0 15
9.8%
2 13
 
8.5%
8 11
 
7.2%
K 11
 
7.2%
X 9
 
5.9%
7 8
 
5.2%
U 7
 
4.6%
3 7
 
4.6%
Other values (12) 34
22.2%

name_prog3
Text

MISSING 

Distinct28
Distinct (%)84.8%
Missing441
Missing (%)93.0%
Memory size16.7 KiB
2023-12-09T22:29:10.213331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length64
Median length45
Mean length29.6969697
Min length1

Characters and Unicode

Total characters980
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)78.8%

Sample

1st rowThe Walter H. Crowley Intermediate School (I.S. 5) Zoned Program
2nd rowThe Frank Sansivieri Intermediate School (I.S. 73)
3rd rowI.S. 77 Zoned Program
4th rowI.S. 93 Ridgewood Zoned Program
5th rowZoned Program
ValueCountFrequency (%)
program 18
 
11.4%
zoned 17
 
10.8%
i.s 10
 
6.3%
academy 6
 
3.8%
school 5
 
3.2%
the 5
 
3.2%
for 4
 
2.5%
and 3
 
1.9%
3
 
1.9%
of 3
 
1.9%
Other values (73) 84
53.2%
2023-12-09T22:29:10.676556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
12.8%
e 76
 
7.8%
o 70
 
7.1%
r 59
 
6.0%
a 59
 
6.0%
n 46
 
4.7%
d 43
 
4.4%
. 40
 
4.1%
l 37
 
3.8%
m 29
 
3.0%
Other values (49) 396
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 591
60.3%
Uppercase Letter 153
 
15.6%
Space Separator 125
 
12.8%
Decimal Number 48
 
4.9%
Other Punctuation 43
 
4.4%
Open Punctuation 10
 
1.0%
Close Punctuation 10
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 76
12.9%
o 70
11.8%
r 59
10.0%
a 59
10.0%
n 46
 
7.8%
d 43
 
7.3%
l 37
 
6.3%
m 29
 
4.9%
g 26
 
4.4%
i 25
 
4.2%
Other values (13) 121
20.5%
Uppercase Letter
ValueCountFrequency (%)
S 24
15.7%
P 21
13.7%
Z 17
11.1%
I 12
 
7.8%
A 12
 
7.8%
M 8
 
5.2%
L 7
 
4.6%
H 6
 
3.9%
D 6
 
3.9%
C 6
 
3.9%
Other values (11) 34
22.2%
Decimal Number
ValueCountFrequency (%)
1 12
25.0%
8 8
16.7%
2 6
12.5%
3 5
10.4%
7 5
10.4%
0 4
 
8.3%
6 3
 
6.2%
9 2
 
4.2%
5 2
 
4.2%
4 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 40
93.0%
: 3
 
7.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 744
75.9%
Common 236
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 76
 
10.2%
o 70
 
9.4%
r 59
 
7.9%
a 59
 
7.9%
n 46
 
6.2%
d 43
 
5.8%
l 37
 
5.0%
m 29
 
3.9%
g 26
 
3.5%
i 25
 
3.4%
Other values (34) 274
36.8%
Common
ValueCountFrequency (%)
125
53.0%
. 40
 
16.9%
1 12
 
5.1%
( 10
 
4.2%
) 10
 
4.2%
8 8
 
3.4%
2 6
 
2.5%
3 5
 
2.1%
7 5
 
2.1%
0 4
 
1.7%
Other values (5) 11
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
 
12.8%
e 76
 
7.8%
o 70
 
7.1%
r 59
 
6.0%
a 59
 
6.0%
n 46
 
4.7%
d 43
 
4.4%
. 40
 
4.1%
l 37
 
3.8%
m 29
 
3.0%
Other values (49) 396
40.4%
Distinct6
Distinct (%)18.2%
Missing441
Missing (%)93.0%
Memory size15.9 KiB
2023-12-09T22:29:10.842838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.575757576
Min length1

Characters and Unicode

Total characters184
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st rowZoned
2nd rowOpen
3rd rowZoned
4th rowZoned
5th rowZoned
ValueCountFrequency (%)
zoned 18
50.0%
open 8
22.2%
3
 
8.3%
screened 3
 
8.3%
language 2
 
5.6%
composite 1
 
2.8%
score 1
 
2.8%
2023-12-09T22:29:11.130865image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 39
21.2%
n 31
16.8%
d 21
11.4%
o 21
11.4%
Z 18
9.8%
p 9
 
4.9%
O 8
 
4.3%
g 4
 
2.2%
S 4
 
2.2%
c 4
 
2.2%
Other values (12) 25
13.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 143
77.7%
Uppercase Letter 33
 
17.9%
Other Punctuation 5
 
2.7%
Space Separator 3
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 39
27.3%
n 31
21.7%
d 21
14.7%
o 21
14.7%
p 9
 
6.3%
g 4
 
2.8%
c 4
 
2.8%
r 4
 
2.8%
a 4
 
2.8%
u 2
 
1.4%
Other values (4) 4
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
Z 18
54.5%
O 8
24.2%
S 4
 
12.1%
L 2
 
6.1%
C 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
: 2
40.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 176
95.7%
Common 8
 
4.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 39
22.2%
n 31
17.6%
d 21
11.9%
o 21
11.9%
Z 18
10.2%
p 9
 
5.1%
O 8
 
4.5%
g 4
 
2.3%
S 4
 
2.3%
c 4
 
2.3%
Other values (9) 17
9.7%
Common
ValueCountFrequency (%)
. 3
37.5%
3
37.5%
: 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 39
21.2%
n 31
16.8%
d 21
11.4%
o 21
11.4%
Z 18
9.8%
p 9
 
4.9%
O 8
 
4.3%
g 4
 
2.2%
S 4
 
2.2%
c 4
 
2.2%
Other values (12) 25
13.6%

geapps_prog3
Text

MISSING 

Distinct12
Distinct (%)80.0%
Missing459
Missing (%)96.8%
Memory size15.3 KiB
2023-12-09T22:29:11.305681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.6
Min length1

Characters and Unicode

Total characters39
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)66.7%

Sample

1st row394
2nd row228
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
3
20.0%
228 2
13.3%
181 1
 
6.7%
278 1
 
6.7%
1126 1
 
6.7%
85 1
 
6.7%
444 1
 
6.7%
185 1
 
6.7%
112 1
 
6.7%
100 1
 
6.7%
Other values (2) 2
13.3%
2023-12-09T22:29:11.604867image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
20.5%
2 7
17.9%
8 6
15.4%
4 4
10.3%
. 3
 
7.7%
5 3
 
7.7%
0 3
 
7.7%
9 2
 
5.1%
7 1
 
2.6%
6 1
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
92.3%
Other Punctuation 3
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
22.2%
2 7
19.4%
8 6
16.7%
4 4
11.1%
5 3
 
8.3%
0 3
 
8.3%
9 2
 
5.6%
7 1
 
2.8%
6 1
 
2.8%
3 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
20.5%
2 7
17.9%
8 6
15.4%
4 4
10.3%
. 3
 
7.7%
5 3
 
7.7%
0 3
 
7.7%
9 2
 
5.1%
7 1
 
2.6%
6 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
20.5%
2 7
17.9%
8 6
15.4%
4 4
10.3%
. 3
 
7.7%
5 3
 
7.7%
0 3
 
7.7%
9 2
 
5.1%
7 1
 
2.6%
6 1
 
2.6%

swdapps_prog3
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing459
Missing (%)96.8%
Memory size15.3 KiB
2023-12-09T22:29:11.774498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.933333333
Min length1

Characters and Unicode

Total characters29
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)80.0%

Sample

1st row68
2nd row61
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
3
20.0%
51 1
 
6.7%
43 1
 
6.7%
68 1
 
6.7%
17 1
 
6.7%
58 1
 
6.7%
45 1
 
6.7%
35 1
 
6.7%
42 1
 
6.7%
111 1
 
6.7%
Other values (3) 3
20.0%
2023-12-09T22:29:12.082531image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
24.1%
5 4
13.8%
. 3
10.3%
4 3
10.3%
7 3
10.3%
3 2
 
6.9%
6 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
0 1
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26
89.7%
Other Punctuation 3
 
10.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
26.9%
5 4
15.4%
4 3
11.5%
7 3
11.5%
3 2
 
7.7%
6 2
 
7.7%
8 2
 
7.7%
2 2
 
7.7%
0 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
24.1%
5 4
13.8%
. 3
10.3%
4 3
10.3%
7 3
10.3%
3 2
 
6.9%
6 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
0 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
24.1%
5 4
13.8%
. 3
10.3%
4 3
10.3%
7 3
10.3%
3 2
 
6.9%
6 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
0 1
 
3.4%

geappsperseat_prog3
Text

MISSING 

Distinct6
Distinct (%)40.0%
Missing459
Missing (%)96.8%
Memory size15.3 KiB
2023-12-09T22:29:12.199104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.2
Min length1

Characters and Unicode

Total characters18
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)13.3%

Sample

1st row3
2nd row2
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
2 6
40.0%
3
20.0%
11 2
 
13.3%
4 2
 
13.3%
12 1
 
6.7%
3 1
 
6.7%
2023-12-09T22:29:12.445831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 7
38.9%
1 5
27.8%
. 3
16.7%
4 2
 
11.1%
3 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15
83.3%
Other Punctuation 3
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 7
46.7%
1 5
33.3%
4 2
 
13.3%
3 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 7
38.9%
1 5
27.8%
. 3
16.7%
4 2
 
11.1%
3 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 7
38.9%
1 5
27.8%
. 3
16.7%
4 2
 
11.1%
3 1
 
5.6%

swdappsperseat_prog3
Text

MISSING 

Distinct7
Distinct (%)46.7%
Missing459
Missing (%)96.8%
Memory size15.3 KiB
2023-12-09T22:29:12.599225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.066666667
Min length1

Characters and Unicode

Total characters16
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)20.0%

Sample

1st row2
2nd row3
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
3
20.0%
3 3
20.0%
4 3
20.0%
2 3
20.0%
1 1
 
6.7%
10 1
 
6.7%
6 1
 
6.7%
2023-12-09T22:29:12.886003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3
18.8%
3 3
18.8%
4 3
18.8%
2 3
18.8%
1 2
12.5%
0 1
 
6.2%
6 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13
81.2%
Other Punctuation 3
 
18.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3
23.1%
4 3
23.1%
2 3
23.1%
1 2
15.4%
0 1
 
7.7%
6 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3
18.8%
3 3
18.8%
4 3
18.8%
2 3
18.8%
1 2
12.5%
0 1
 
6.2%
6 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3
18.8%
3 3
18.8%
4 3
18.8%
2 3
18.8%
1 2
12.5%
0 1
 
6.2%
6 1
 
6.2%

swdseats_prog3
Text

MISSING 

Distinct11
Distinct (%)73.3%
Missing459
Missing (%)96.8%
Memory size15.3 KiB
2023-12-09T22:29:13.041093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.6
Min length1

Characters and Unicode

Total characters24
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)53.3%

Sample

1st row30
2nd row22
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
3
20.0%
6 2
13.3%
14 2
13.3%
12 1
 
6.7%
22 1
 
6.7%
26 1
 
6.7%
30 1
 
6.7%
8 1
 
6.7%
45 1
 
6.7%
11 1
 
6.7%
2023-12-09T22:29:13.308970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
25.0%
2 4
16.7%
. 3
12.5%
6 3
12.5%
4 3
12.5%
3 1
 
4.2%
0 1
 
4.2%
8 1
 
4.2%
5 1
 
4.2%
9 1
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21
87.5%
Other Punctuation 3
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
28.6%
2 4
19.0%
6 3
14.3%
4 3
14.3%
3 1
 
4.8%
0 1
 
4.8%
8 1
 
4.8%
5 1
 
4.8%
9 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
25.0%
2 4
16.7%
. 3
12.5%
6 3
12.5%
4 3
12.5%
3 1
 
4.2%
0 1
 
4.2%
8 1
 
4.2%
5 1
 
4.2%
9 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
25.0%
2 4
16.7%
. 3
12.5%
6 3
12.5%
4 3
12.5%
3 1
 
4.2%
0 1
 
4.2%
8 1
 
4.2%
5 1
 
4.2%
9 1
 
4.2%

geseats_prog3
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing459
Missing (%)96.8%
Memory size15.3 KiB
2023-12-09T22:29:13.471015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.066666667
Min length1

Characters and Unicode

Total characters31
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)80.0%

Sample

1st row120
2nd row106
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
3
20.0%
106 1
 
6.7%
114 1
 
6.7%
75 1
 
6.7%
52 1
 
6.7%
120 1
 
6.7%
24 1
 
6.7%
21 1
 
6.7%
79 1
 
6.7%
98 1
 
6.7%
Other values (3) 3
20.0%
2023-12-09T22:29:13.768129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
22.6%
4 4
12.9%
2 4
12.9%
. 3
9.7%
7 3
9.7%
0 2
 
6.5%
5 2
 
6.5%
9 2
 
6.5%
8 2
 
6.5%
6 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
90.3%
Other Punctuation 3
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
25.0%
4 4
14.3%
2 4
14.3%
7 3
10.7%
0 2
 
7.1%
5 2
 
7.1%
9 2
 
7.1%
8 2
 
7.1%
6 1
 
3.6%
3 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
22.6%
4 4
12.9%
2 4
12.9%
. 3
9.7%
7 3
9.7%
0 2
 
6.5%
5 2
 
6.5%
9 2
 
6.5%
8 2
 
6.5%
6 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
22.6%
4 4
12.9%
2 4
12.9%
. 3
9.7%
7 3
9.7%
0 2
 
6.5%
5 2
 
6.5%
9 2
 
6.5%
8 2
 
6.5%
6 1
 
3.2%

gefilled_prog3
Text

MISSING 

Distinct3
Distinct (%)15.0%
Missing454
Missing (%)95.8%
Memory size15.5 KiB
2023-12-09T22:29:13.906266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.2
Min length1

Characters and Unicode

Total characters44
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 10
50.0%
yes 7
35.0%
3
 
15.0%
2023-12-09T22:29:14.181249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 10
22.7%
o 10
22.7%
Y 7
15.9%
e 7
15.9%
s 7
15.9%
. 3
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24
54.5%
Uppercase Letter 17
38.6%
Other Punctuation 3
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 10
41.7%
e 7
29.2%
s 7
29.2%
Uppercase Letter
ValueCountFrequency (%)
N 10
58.8%
Y 7
41.2%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41
93.2%
Common 3
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 10
24.4%
o 10
24.4%
Y 7
17.1%
e 7
17.1%
s 7
17.1%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 10
22.7%
o 10
22.7%
Y 7
15.9%
e 7
15.9%
s 7
15.9%
. 3
 
6.8%

swdfilled_prog3
Text

MISSING 

Distinct3
Distinct (%)15.0%
Missing454
Missing (%)95.8%
Memory size15.5 KiB
2023-12-09T22:29:14.316861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.2
Min length1

Characters and Unicode

Total characters44
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 10
50.0%
yes 7
35.0%
3
 
15.0%
2023-12-09T22:29:14.583357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 10
22.7%
o 10
22.7%
Y 7
15.9%
e 7
15.9%
s 7
15.9%
. 3
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24
54.5%
Uppercase Letter 17
38.6%
Other Punctuation 3
 
6.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 10
41.7%
e 7
29.2%
s 7
29.2%
Uppercase Letter
ValueCountFrequency (%)
N 10
58.8%
Y 7
41.2%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41
93.2%
Common 3
 
6.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 10
24.4%
o 10
24.4%
Y 7
17.1%
e 7
17.1%
s 7
17.1%
Common
ValueCountFrequency (%)
. 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 10
22.7%
o 10
22.7%
Y 7
15.9%
e 7
15.9%
s 7
15.9%
. 3
 
6.8%

eligibility_prog3
Text

MISSING 

Distinct14
Distinct (%)42.4%
Missing441
Missing (%)93.0%
Memory size17.0 KiB
2023-12-09T22:29:14.808397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length102
Median length89
Mean length40.21212121
Min length1

Characters and Unicode

Total characters1327
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)30.3%

Sample

1st rowOpen to students residing in the zone
2nd rowOpen to 5th grade students at P.S. 16, P.S. 19, and P.S. 143 and students zoned to I.S. 61 or I.S. 311
3rd rowOpen to students residing in the zone
4th rowOpen to students residing in the zone
5th rowOpen to students residing in the zone
ValueCountFrequency (%)
students 32
13.0%
to 31
12.6%
open 30
12.2%
residing 18
 
7.3%
in 18
 
7.3%
the 18
 
7.3%
zone 18
 
7.3%
and 14
 
5.7%
residents 11
 
4.5%
of 11
 
4.5%
Other values (27) 45
18.3%
2023-12-09T22:29:15.756752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
16.1%
n 149
11.2%
t 149
11.2%
e 144
10.9%
s 114
8.6%
i 85
 
6.4%
d 78
 
5.9%
o 67
 
5.0%
r 43
 
3.2%
u 33
 
2.5%
Other values (31) 252
19.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1004
75.7%
Space Separator 213
 
16.1%
Uppercase Letter 53
 
4.0%
Decimal Number 42
 
3.2%
Other Punctuation 15
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 149
14.8%
t 149
14.8%
e 144
14.3%
s 114
11.4%
i 85
8.5%
d 78
7.8%
o 67
6.7%
r 43
 
4.3%
u 33
 
3.3%
p 30
 
3.0%
Other values (10) 112
11.2%
Decimal Number
ValueCountFrequency (%)
1 20
47.6%
0 4
 
9.5%
3 4
 
9.5%
6 3
 
7.1%
2 3
 
7.1%
8 2
 
4.8%
4 2
 
4.8%
5 2
 
4.8%
9 1
 
2.4%
7 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
O 30
56.6%
D 9
 
17.0%
S 5
 
9.4%
P 3
 
5.7%
I 2
 
3.8%
X 2
 
3.8%
M 1
 
1.9%
B 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 13
86.7%
, 2
 
13.3%
Space Separator
ValueCountFrequency (%)
213
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1057
79.7%
Common 270
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 149
14.1%
t 149
14.1%
e 144
13.6%
s 114
10.8%
i 85
8.0%
d 78
7.4%
o 67
6.3%
r 43
 
4.1%
u 33
 
3.1%
O 30
 
2.8%
Other values (18) 165
15.6%
Common
ValueCountFrequency (%)
213
78.9%
1 20
 
7.4%
. 13
 
4.8%
0 4
 
1.5%
3 4
 
1.5%
6 3
 
1.1%
2 3
 
1.1%
8 2
 
0.7%
, 2
 
0.7%
4 2
 
0.7%
Other values (3) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
16.1%
n 149
11.2%
t 149
11.2%
e 144
10.9%
s 114
8.6%
i 85
 
6.4%
d 78
 
5.9%
o 67
 
5.0%
r 43
 
3.2%
u 33
 
2.5%
Other values (31) 252
19.0%

priority1_prog3
Text

MISSING 

Distinct3
Distinct (%)1.8%
Missing305
Missing (%)64.3%
Memory size19.5 KiB
2023-12-09T22:29:15.910651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length41
Median length1
Mean length2.420118343
Min length1

Characters and Unicode

Total characters409
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
163
79.9%
priority 6
 
2.9%
to 6
 
2.9%
students 6
 
2.9%
residing 5
 
2.5%
in 5
 
2.5%
the 5
 
2.5%
zone 5
 
2.5%
continuing 1
 
0.5%
5th 1
 
0.5%
2023-12-09T22:29:16.196569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 163
39.9%
35
 
8.6%
t 31
 
7.6%
i 29
 
7.1%
n 24
 
5.9%
e 22
 
5.4%
r 18
 
4.4%
o 18
 
4.4%
s 17
 
4.2%
d 12
 
2.9%
Other values (9) 40
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 204
49.9%
Other Punctuation 163
39.9%
Space Separator 35
 
8.6%
Uppercase Letter 6
 
1.5%
Decimal Number 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 31
15.2%
i 29
14.2%
n 24
11.8%
e 22
10.8%
r 18
8.8%
o 18
8.8%
s 17
8.3%
d 12
 
5.9%
g 7
 
3.4%
u 7
 
3.4%
Other values (5) 19
9.3%
Other Punctuation
ValueCountFrequency (%)
. 163
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 6
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 210
51.3%
Common 199
48.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 31
14.8%
i 29
13.8%
n 24
11.4%
e 22
10.5%
r 18
8.6%
o 18
8.6%
s 17
8.1%
d 12
 
5.7%
g 7
 
3.3%
u 7
 
3.3%
Other values (6) 25
11.9%
Common
ValueCountFrequency (%)
. 163
81.9%
35
 
17.6%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 163
39.9%
35
 
8.6%
t 31
 
7.6%
i 29
 
7.1%
n 24
 
5.9%
e 22
 
5.4%
r 18
 
4.4%
o 18
 
4.4%
s 17
 
4.2%
d 12
 
2.9%
Other values (9) 40
 
9.8%

priority2_prog3
Text

MISSING 

Distinct6
Distinct (%)3.6%
Missing305
Missing (%)64.3%
Memory size19.6 KiB
2023-12-09T22:29:16.372709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length112
Median length1
Mean length3.047337278
Min length1

Characters and Unicode

Total characters515
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.4%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
163
73.4%
students 7
 
3.2%
then 6
 
2.7%
to 6
 
2.7%
and 5
 
2.3%
residents 5
 
2.3%
of 5
 
2.3%
district 5
 
2.3%
11 2
 
0.9%
school 1
 
0.5%
Other values (17) 17
 
7.7%
2023-12-09T22:29:16.676780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 168
32.6%
53
 
10.3%
t 42
 
8.2%
s 34
 
6.6%
e 31
 
6.0%
n 27
 
5.2%
i 22
 
4.3%
d 20
 
3.9%
r 19
 
3.7%
o 18
 
3.5%
Other values (19) 81
15.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 271
52.6%
Other Punctuation 169
32.8%
Space Separator 53
 
10.3%
Uppercase Letter 12
 
2.3%
Decimal Number 10
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 42
15.5%
s 34
12.5%
e 31
11.4%
n 27
10.0%
i 22
8.1%
d 20
7.4%
r 19
7.0%
o 18
6.6%
a 11
 
4.1%
h 9
 
3.3%
Other values (9) 38
14.0%
Decimal Number
ValueCountFrequency (%)
1 7
70.0%
7 1
 
10.0%
8 1
 
10.0%
2 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
T 6
50.0%
D 5
41.7%
L 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 168
99.4%
, 1
 
0.6%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 283
55.0%
Common 232
45.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 42
14.8%
s 34
12.0%
e 31
11.0%
n 27
9.5%
i 22
7.8%
d 20
 
7.1%
r 19
 
6.7%
o 18
 
6.4%
a 11
 
3.9%
h 9
 
3.2%
Other values (12) 50
17.7%
Common
ValueCountFrequency (%)
. 168
72.4%
53
 
22.8%
1 7
 
3.0%
7 1
 
0.4%
8 1
 
0.4%
, 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 515
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 168
32.6%
53
 
10.3%
t 42
 
8.2%
s 34
 
6.6%
e 31
 
6.0%
n 27
 
5.2%
i 22
 
4.3%
d 20
 
3.9%
r 19
 
3.7%
o 18
 
3.5%
Other values (19) 81
15.7%

priority3_prog3
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:16.784836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:16.989199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority4_prog3
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing51
Missing (%)10.8%
Memory size25.7 KiB
2023-12-09T22:29:17.134511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length67
Median length1
Mean length1.156028369
Min length1

Characters and Unicode

Total characters489
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
422
97.7%
last 1
 
0.2%
year 1
 
0.2%
this 1
 
0.2%
program 1
 
0.2%
admitted 1
 
0.2%
students 1
 
0.2%
from 1
 
0.2%
all 1
 
0.2%
priority 1
 
0.2%
2023-12-09T22:29:17.419386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 423
86.5%
9
 
1.8%
t 7
 
1.4%
r 7
 
1.4%
a 5
 
1.0%
s 5
 
1.0%
i 4
 
0.8%
o 4
 
0.8%
e 3
 
0.6%
d 3
 
0.6%
Other values (11) 19
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 424
86.7%
Lowercase Letter 55
 
11.2%
Space Separator 9
 
1.8%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 7
12.7%
r 7
12.7%
a 5
9.1%
s 5
9.1%
i 4
 
7.3%
o 4
 
7.3%
e 3
 
5.5%
d 3
 
5.5%
m 3
 
5.5%
p 3
 
5.5%
Other values (7) 11
20.0%
Other Punctuation
ValueCountFrequency (%)
. 423
99.8%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
9
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 433
88.5%
Latin 56
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 7
12.5%
r 7
12.5%
a 5
8.9%
s 5
8.9%
i 4
 
7.1%
o 4
 
7.1%
e 3
 
5.4%
d 3
 
5.4%
m 3
 
5.4%
p 3
 
5.4%
Other values (8) 12
21.4%
Common
ValueCountFrequency (%)
. 423
97.7%
9
 
2.1%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 489
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 423
86.5%
9
 
1.8%
t 7
 
1.4%
r 7
 
1.4%
a 5
 
1.0%
s 5
 
1.0%
i 4
 
0.8%
o 4
 
0.8%
e 3
 
0.6%
d 3
 
0.6%
Other values (11) 19
 
3.9%

priority5_prog3
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:17.523999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:17.728404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority6_prog3
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:17.827610image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:18.033947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority7_prog3
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:18.131605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:18.336738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

prefnote_prog3
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:18.434529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:18.646873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

lowestpriority_prog3
Text

MISSING 

Distinct5
Distinct (%)2.9%
Missing302
Missing (%)63.7%
Memory size19.9 KiB
2023-12-09T22:29:18.837034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length208
Median length1
Mean length4.546511628
Min length1

Characters and Unicode

Total characters782
Distinct characters35
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)1.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
166
66.4%
language 9
 
3.6%
students 4
 
1.6%
last 4
 
1.6%
of 4
 
1.6%
from 4
 
1.6%
priority 4
 
1.6%
admitted 4
 
1.6%
program 4
 
1.6%
this 4
 
1.6%
Other values (23) 43
 
17.2%
2023-12-09T22:29:19.166911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 171
21.9%
78
 
10.0%
a 60
 
7.7%
e 49
 
6.3%
t 47
 
6.0%
r 46
 
5.9%
g 35
 
4.5%
s 33
 
4.2%
i 30
 
3.8%
o 28
 
3.6%
Other values (25) 205
26.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 488
62.4%
Other Punctuation 179
 
22.9%
Space Separator 78
 
10.0%
Uppercase Letter 30
 
3.8%
Dash Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 60
12.3%
e 49
10.0%
t 47
9.6%
r 46
9.4%
g 35
 
7.2%
s 33
 
6.8%
i 30
 
6.1%
o 28
 
5.7%
n 28
 
5.7%
l 25
 
5.1%
Other values (10) 107
21.9%
Uppercase Letter
ValueCountFrequency (%)
L 16
53.3%
E 5
 
16.7%
D 2
 
6.7%
S 2
 
6.7%
H 2
 
6.7%
P 1
 
3.3%
T 1
 
3.3%
B 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 171
95.5%
, 8
 
4.5%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 518
66.2%
Common 264
33.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 60
11.6%
e 49
 
9.5%
t 47
 
9.1%
r 46
 
8.9%
g 35
 
6.8%
s 33
 
6.4%
i 30
 
5.8%
o 28
 
5.4%
n 28
 
5.4%
l 25
 
4.8%
Other values (18) 137
26.4%
Common
ValueCountFrequency (%)
. 171
64.8%
78
29.5%
, 8
 
3.0%
- 2
 
0.8%
) 2
 
0.8%
( 2
 
0.8%
1 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 171
21.9%
78
 
10.0%
a 60
 
7.7%
e 49
 
6.3%
t 47
 
6.0%
r 46
 
5.9%
g 35
 
4.5%
s 33
 
4.2%
i 30
 
3.8%
o 28
 
3.6%
Other values (25) 205
26.2%
Distinct6
Distinct (%)40.0%
Missing459
Missing (%)96.8%
Memory size16.2 KiB
2023-12-09T22:29:19.401305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length110
Median length60
Mean length59.86666667
Min length1

Characters and Unicode

Total characters898
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)13.3%

Sample

1st rowStudents who apply to this program will be randomly selected
2nd rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
the 10
 
6.1%
students 8
 
4.9%
apply 8
 
4.9%
to 8
 
4.9%
this 8
 
4.9%
program 8
 
4.9%
will 8
 
4.9%
be 8
 
4.9%
randomly 8
 
4.9%
selected 8
 
4.9%
Other values (20) 81
49.7%
2023-12-09T22:29:19.757367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
16.5%
e 77
 
8.6%
t 75
 
8.4%
o 61
 
6.8%
r 57
 
6.3%
a 47
 
5.2%
l 45
 
5.0%
d 41
 
4.6%
s 37
 
4.1%
i 36
 
4.0%
Other values (28) 274
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 693
77.2%
Space Separator 148
 
16.5%
Uppercase Letter 43
 
4.8%
Other Punctuation 7
 
0.8%
Decimal Number 7
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 77
11.1%
t 75
10.8%
o 61
 
8.8%
r 57
 
8.2%
a 47
 
6.8%
l 45
 
6.5%
d 41
 
5.9%
s 37
 
5.3%
i 36
 
5.2%
p 34
 
4.9%
Other values (13) 183
26.4%
Uppercase Letter
ValueCountFrequency (%)
S 12
27.9%
E 8
18.6%
G 4
 
9.3%
N 4
 
9.3%
Y 4
 
9.3%
L 4
 
9.3%
A 4
 
9.3%
M 3
 
7.0%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
: 1
 
14.3%
% 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
4 4
57.1%
2 2
28.6%
5 1
 
14.3%
Space Separator
ValueCountFrequency (%)
148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 736
82.0%
Common 162
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 77
 
10.5%
t 75
 
10.2%
o 61
 
8.3%
r 57
 
7.7%
a 47
 
6.4%
l 45
 
6.1%
d 41
 
5.6%
s 37
 
5.0%
i 36
 
4.9%
p 34
 
4.6%
Other values (21) 226
30.7%
Common
ValueCountFrequency (%)
148
91.4%
. 5
 
3.1%
4 4
 
2.5%
2 2
 
1.2%
: 1
 
0.6%
5 1
 
0.6%
% 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
16.5%
e 77
 
8.6%
t 75
 
8.4%
o 61
 
6.8%
r 57
 
6.3%
a 47
 
5.2%
l 45
 
5.0%
d 41
 
4.6%
s 37
 
4.1%
i 36
 
4.0%
Other values (28) 274
30.5%
Distinct5
Distinct (%)2.6%
Missing284
Missing (%)59.9%
Memory size19.9 KiB
2023-12-09T22:29:19.915552image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length41
Median length1
Mean length1.547368421
Min length1

Characters and Unicode

Total characters294
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
186
92.1%
and 2
 
1.0%
attendance 2
 
1.0%
academic 1
 
0.5%
personal 1
 
0.5%
behaviors 1
 
0.5%
4th 1
 
0.5%
grade 1
 
0.5%
new 1
 
0.5%
york 1
 
0.5%
Other values (5) 5
 
2.5%
2023-12-09T22:29:20.221442image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 187
63.6%
a 12
 
4.1%
12
 
4.1%
e 10
 
3.4%
t 10
 
3.4%
n 8
 
2.7%
d 6
 
2.0%
c 5
 
1.7%
r 4
 
1.4%
i 3
 
1.0%
Other values (25) 37
 
12.6%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 189
64.3%
Lowercase Letter 77
26.2%
Space Separator 12
 
4.1%
Uppercase Letter 12
 
4.1%
Decimal Number 4
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 12
15.6%
e 10
13.0%
t 10
13.0%
n 8
10.4%
d 6
7.8%
c 5
 
6.5%
r 4
 
5.2%
i 3
 
3.9%
o 3
 
3.9%
h 3
 
3.9%
Other values (9) 13
16.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
P 2
16.7%
M 1
 
8.3%
E 1
 
8.3%
S 1
 
8.3%
Y 1
 
8.3%
N 1
 
8.3%
G 1
 
8.3%
B 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 187
98.9%
% 1
 
0.5%
: 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205
69.7%
Latin 89
30.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 12
13.5%
e 10
 
11.2%
t 10
 
11.2%
n 8
 
9.0%
d 6
 
6.7%
c 5
 
5.6%
r 4
 
4.5%
i 3
 
3.4%
A 3
 
3.4%
o 3
 
3.4%
Other values (18) 25
28.1%
Common
ValueCountFrequency (%)
. 187
91.2%
12
 
5.9%
2 2
 
1.0%
% 1
 
0.5%
5 1
 
0.5%
: 1
 
0.5%
4 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 187
63.6%
a 12
 
4.1%
12
 
4.1%
e 10
 
3.4%
t 10
 
3.4%
n 8
 
2.7%
d 6
 
2.0%
c 5
 
1.7%
r 4
 
1.4%
i 3
 
1.0%
Other values (25) 37
 
12.6%
Distinct5
Distinct (%)2.6%
Missing284
Missing (%)59.9%
Memory size19.8 KiB
2023-12-09T22:29:20.382993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length1
Mean length1.4
Min length1

Characters and Unicode

Total characters266
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
186
94.4%
final 1
 
0.5%
4th 1
 
0.5%
grade 1
 
0.5%
report 1
 
0.5%
card 1
 
0.5%
language 1
 
0.5%
proficiency 1
 
0.5%
assessment 1
 
0.5%
audition 1
 
0.5%
Other values (2) 2
 
1.0%
2023-12-09T22:29:20.678555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 186
69.9%
e 8
 
3.0%
n 7
 
2.6%
7
 
2.6%
a 6
 
2.3%
t 6
 
2.3%
i 5
 
1.9%
r 4
 
1.5%
d 4
 
1.5%
s 4
 
1.5%
Other values (21) 29
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 188
70.7%
Lowercase Letter 60
 
22.6%
Uppercase Letter 9
 
3.4%
Space Separator 7
 
2.6%
Decimal Number 2
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8
13.3%
n 7
11.7%
a 6
10.0%
t 6
10.0%
i 5
8.3%
r 4
 
6.7%
d 4
 
6.7%
s 4
 
6.7%
o 3
 
5.0%
c 3
 
5.0%
Other values (8) 10
16.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
P 1
 
11.1%
L 1
 
11.1%
C 1
 
11.1%
F 1
 
11.1%
R 1
 
11.1%
G 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 186
98.9%
: 1
 
0.5%
% 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 197
74.1%
Latin 69
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8
11.6%
n 7
 
10.1%
a 6
 
8.7%
t 6
 
8.7%
i 5
 
7.2%
r 4
 
5.8%
d 4
 
5.8%
s 4
 
5.8%
A 3
 
4.3%
o 3
 
4.3%
Other values (15) 19
27.5%
Common
ValueCountFrequency (%)
. 186
94.4%
7
 
3.6%
: 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
% 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 186
69.9%
e 8
 
3.0%
n 7
 
2.6%
7
 
2.6%
a 6
 
2.3%
t 6
 
2.3%
i 5
 
1.9%
r 4
 
1.5%
d 4
 
1.5%
s 4
 
1.5%
Other values (21) 29
 
10.9%
Distinct5
Distinct (%)2.6%
Missing284
Missing (%)59.9%
Memory size19.9 KiB
2023-12-09T22:29:20.851095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length96
Median length1
Mean length1.810526316
Min length1

Characters and Unicode

Total characters344
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)2.1%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
186
89.9%
target 2
 
1.0%
assessment 2
 
1.0%
language 2
 
1.0%
grade 1
 
0.5%
report 1
 
0.5%
card 1
 
0.5%
45 1
 
0.5%
4th 1
 
0.5%
punctuality 1
 
0.5%
Other values (9) 9
 
4.3%
2023-12-09T22:29:21.152292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 187
54.4%
a 17
 
4.9%
17
 
4.9%
n 14
 
4.1%
t 13
 
3.8%
e 12
 
3.5%
s 10
 
2.9%
r 9
 
2.6%
i 8
 
2.3%
g 8
 
2.3%
Other values (23) 49
 
14.2%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 189
54.9%
Lowercase Letter 122
35.5%
Space Separator 17
 
4.9%
Uppercase Letter 13
 
3.8%
Decimal Number 3
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 17
13.9%
n 14
11.5%
t 13
10.7%
e 12
9.8%
s 10
8.2%
r 9
7.4%
i 8
6.6%
g 8
6.6%
u 6
 
4.9%
l 6
 
4.9%
Other values (7) 19
15.6%
Uppercase Letter
ValueCountFrequency (%)
E 2
15.4%
T 2
15.4%
A 2
15.4%
B 1
7.7%
L 1
7.7%
G 1
7.7%
C 1
7.7%
F 1
7.7%
R 1
7.7%
P 1
7.7%
Other Punctuation
ValueCountFrequency (%)
. 187
98.9%
% 1
 
0.5%
: 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
4 2
66.7%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
60.8%
Latin 135
39.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 17
12.6%
n 14
10.4%
t 13
9.6%
e 12
 
8.9%
s 10
 
7.4%
r 9
 
6.7%
i 8
 
5.9%
g 8
 
5.9%
u 6
 
4.4%
l 6
 
4.4%
Other values (17) 32
23.7%
Common
ValueCountFrequency (%)
. 187
89.5%
17
 
8.1%
4 2
 
1.0%
% 1
 
0.5%
: 1
 
0.5%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 344
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 187
54.4%
a 17
 
4.9%
17
 
4.9%
n 14
 
4.1%
t 13
 
3.8%
e 12
 
3.5%
s 10
 
2.9%
r 9
 
2.6%
i 8
 
2.3%
g 8
 
2.3%
Other values (23) 49
 
14.2%
Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:21.301885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length27
Median length1
Mean length1.142857143
Min length1

Characters and Unicode

Total characters320
Distinct characters25
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
97.5%
final 1
 
0.4%
4th 1
 
0.4%
grade 1
 
0.4%
report 1
 
0.4%
card 1
 
0.4%
punctuality 1
 
0.4%
5 1
 
0.4%
2023-12-09T22:29:21.565898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
86.9%
5
 
1.6%
t 4
 
1.2%
a 4
 
1.2%
r 3
 
0.9%
u 2
 
0.6%
e 2
 
0.6%
d 2
 
0.6%
l 2
 
0.6%
n 2
 
0.6%
Other values (15) 16
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 280
87.5%
Lowercase Letter 28
 
8.8%
Space Separator 5
 
1.6%
Uppercase Letter 5
 
1.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 4
14.3%
a 4
14.3%
r 3
10.7%
u 2
7.1%
e 2
7.1%
d 2
7.1%
l 2
7.1%
n 2
7.1%
i 2
7.1%
y 1
 
3.6%
Other values (4) 4
14.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
20.0%
C 1
20.0%
R 1
20.0%
F 1
20.0%
G 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 278
99.3%
: 1
 
0.4%
% 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 287
89.7%
Latin 33
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 4
12.1%
a 4
12.1%
r 3
 
9.1%
u 2
 
6.1%
e 2
 
6.1%
d 2
 
6.1%
l 2
 
6.1%
n 2
 
6.1%
i 2
 
6.1%
P 1
 
3.0%
Other values (9) 9
27.3%
Common
ValueCountFrequency (%)
. 278
96.9%
5
 
1.7%
4 1
 
0.3%
5 1
 
0.3%
: 1
 
0.3%
% 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
86.9%
5
 
1.6%
t 4
 
1.2%
a 4
 
1.2%
r 3
 
0.9%
u 2
 
0.6%
e 2
 
0.6%
d 2
 
0.6%
l 2
 
0.6%
n 2
 
0.6%
Other values (15) 16
 
5.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:21.672776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:21.881307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:21.982464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:22.188204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:22.291134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:22.502944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:22.602219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:22.819771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:22.922072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:23.141639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:23.243179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:23.447095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:23.544604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:23.748577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

revealed_prog3
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:23.845837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:24.053901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

code_prog4
Text

MISSING 

Distinct7
Distinct (%)3.3%
Missing259
Missing (%)54.6%
Memory size20.4 KiB
2023-12-09T22:29:24.208837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length1
Mean length1.158139535
Min length1

Characters and Unicode

Total characters249
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)2.8%

Sample

1st row.
2nd rowQ073Z
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
209
96.8%
k228q 1
 
0.5%
q073z 1
 
0.5%
k220z 1
 
0.5%
z144z 1
 
0.5%
k113t 1
 
0.5%
talent 1
 
0.5%
programs 1
 
0.5%
2023-12-09T22:29:24.532253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 209
83.9%
Z 4
 
1.6%
2 4
 
1.6%
K 3
 
1.2%
1 3
 
1.2%
r 2
 
0.8%
T 2
 
0.8%
4 2
 
0.8%
a 2
 
0.8%
3 2
 
0.8%
Other values (14) 16
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 209
83.9%
Decimal Number 15
 
6.0%
Uppercase Letter 12
 
4.8%
Lowercase Letter 12
 
4.8%
Space Separator 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 2
16.7%
a 2
16.7%
l 1
8.3%
e 1
8.3%
n 1
8.3%
t 1
8.3%
o 1
8.3%
g 1
8.3%
m 1
8.3%
s 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
1 3
20.0%
4 2
13.3%
3 2
13.3%
0 2
13.3%
7 1
 
6.7%
8 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
Z 4
33.3%
K 3
25.0%
T 2
16.7%
Q 2
16.7%
P 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
. 209
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
90.4%
Latin 24
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 4
16.7%
K 3
12.5%
r 2
 
8.3%
T 2
 
8.3%
a 2
 
8.3%
Q 2
 
8.3%
l 1
 
4.2%
e 1
 
4.2%
n 1
 
4.2%
t 1
 
4.2%
Other values (5) 5
20.8%
Common
ValueCountFrequency (%)
. 209
92.9%
2 4
 
1.8%
1 3
 
1.3%
4 2
 
0.9%
3 2
 
0.9%
0 2
 
0.9%
7 1
 
0.4%
1
 
0.4%
8 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 209
83.9%
Z 4
 
1.6%
2 4
 
1.6%
K 3
 
1.2%
1 3
 
1.2%
r 2
 
0.8%
T 2
 
0.8%
4 2
 
0.8%
a 2
 
0.8%
3 2
 
0.8%
Other values (14) 16
 
6.4%

name_prog4
Text

MISSING 

Distinct6
Distinct (%)2.8%
Missing259
Missing (%)54.6%
Memory size20.6 KiB
2023-12-09T22:29:24.714317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length64
Median length1
Mean length2.097674419
Min length1

Characters and Unicode

Total characters451
Distinct characters47
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row.
2nd rowThe Frank Sansivieri Intermediate School (I.S. 73) Zoned Program
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
210
85.4%
program 5
 
2.0%
i.s 3
 
1.2%
zoned 3
 
1.2%
the 2
 
0.8%
acats 1
 
0.4%
school 1
 
0.4%
intermediate 1
 
0.4%
sansivieri 1
 
0.4%
frank 1
 
0.4%
Other values (18) 18
 
7.3%
2023-12-09T22:29:25.030908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 217
48.1%
31
 
6.9%
e 19
 
4.2%
o 18
 
4.0%
a 17
 
3.8%
r 16
 
3.5%
n 10
 
2.2%
g 9
 
2.0%
m 8
 
1.8%
d 7
 
1.6%
Other values (37) 99
22.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 219
48.6%
Lowercase Letter 146
32.4%
Uppercase Letter 39
 
8.6%
Space Separator 31
 
6.9%
Decimal Number 8
 
1.8%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 19
13.0%
o 18
12.3%
a 17
11.6%
r 16
11.0%
n 10
 
6.8%
g 9
 
6.2%
m 8
 
5.5%
d 7
 
4.8%
i 6
 
4.1%
c 5
 
3.4%
Other values (12) 31
21.2%
Uppercase Letter
ValueCountFrequency (%)
S 7
17.9%
P 5
12.8%
I 4
10.3%
T 4
10.3%
A 4
10.3%
Z 3
7.7%
C 3
7.7%
D 2
 
5.1%
B 2
 
5.1%
J 1
 
2.6%
Other values (4) 4
10.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
8 2
25.0%
1 1
 
12.5%
7 1
 
12.5%
3 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 217
99.1%
: 1
 
0.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
59.0%
Latin 185
41.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 19
 
10.3%
o 18
 
9.7%
a 17
 
9.2%
r 16
 
8.6%
n 10
 
5.4%
g 9
 
4.9%
m 8
 
4.3%
d 7
 
3.8%
S 7
 
3.8%
i 6
 
3.2%
Other values (26) 68
36.8%
Common
ValueCountFrequency (%)
. 217
81.6%
31
 
11.7%
) 4
 
1.5%
( 4
 
1.5%
2 3
 
1.1%
8 2
 
0.8%
1 1
 
0.4%
: 1
 
0.4%
& 1
 
0.4%
7 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 451
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 217
48.1%
31
 
6.9%
e 19
 
4.2%
o 18
 
4.0%
a 17
 
3.8%
r 16
 
3.5%
n 10
 
2.2%
g 9
 
2.0%
m 8
 
1.8%
d 7
 
1.6%
Other values (37) 99
22.0%
Distinct5
Distinct (%)2.3%
Missing259
Missing (%)54.6%
Memory size20.4 KiB
2023-12-09T22:29:25.167691image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length1
Mean length1.213953488
Min length1

Characters and Unicode

Total characters261
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row.
2nd rowZoned
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
209
96.3%
zoned 3
 
1.4%
screened 2
 
0.9%
talent 1
 
0.5%
test 1
 
0.5%
language 1
 
0.5%
2023-12-09T22:29:25.419319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 209
80.1%
e 12
 
4.6%
n 7
 
2.7%
d 5
 
1.9%
o 3
 
1.1%
a 3
 
1.1%
Z 3
 
1.1%
S 2
 
0.8%
g 2
 
0.8%
r 2
 
0.8%
Other values (9) 13
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 210
80.5%
Lowercase Letter 41
 
15.7%
Uppercase Letter 8
 
3.1%
Space Separator 2
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 12
29.3%
n 7
17.1%
d 5
12.2%
o 3
 
7.3%
a 3
 
7.3%
g 2
 
4.9%
r 2
 
4.9%
c 2
 
4.9%
t 2
 
4.9%
s 1
 
2.4%
Other values (2) 2
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
Z 3
37.5%
S 2
25.0%
T 2
25.0%
L 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 209
99.5%
: 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 212
81.2%
Latin 49
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 12
24.5%
n 7
14.3%
d 5
10.2%
o 3
 
6.1%
a 3
 
6.1%
Z 3
 
6.1%
S 2
 
4.1%
g 2
 
4.1%
r 2
 
4.1%
c 2
 
4.1%
Other values (6) 8
16.3%
Common
ValueCountFrequency (%)
. 209
98.6%
2
 
0.9%
: 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 209
80.1%
e 12
 
4.6%
n 7
 
2.7%
d 5
 
1.9%
o 3
 
1.1%
a 3
 
1.1%
Z 3
 
1.1%
S 2
 
0.8%
g 2
 
0.8%
r 2
 
0.8%
Other values (9) 13
 
5.0%

geapps_prog4
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.0 KiB
2023-12-09T22:29:25.531013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.010714286
Min length1

Characters and Unicode

Total characters283
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
68 1
 
0.4%
112 1
 
0.4%
2023-12-09T22:29:25.770064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
98.2%
1 2
 
0.7%
6 1
 
0.4%
8 1
 
0.4%
2 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
98.2%
Decimal Number 5
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
40.0%
6 1
20.0%
8 1
20.0%
2 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 283
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
98.2%
1 2
 
0.7%
6 1
 
0.4%
8 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
98.2%
1 2
 
0.7%
6 1
 
0.4%
8 1
 
0.4%
2 1
 
0.4%

swdapps_prog4
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.0 KiB
2023-12-09T22:29:25.879509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.007142857
Min length1

Characters and Unicode

Total characters282
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
10 1
 
0.4%
42 1
 
0.4%
2023-12-09T22:29:26.119808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
98.6%
1 1
 
0.4%
0 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
98.6%
Decimal Number 4
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
4 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
98.6%
1 1
 
0.4%
0 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
98.6%
1 1
 
0.4%
0 1
 
0.4%
4 1
 
0.4%
2 1
 
0.4%

geappsperseat_prog4
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.0 KiB
2023-12-09T22:29:26.227613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters280
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
1 1
 
0.4%
6 1
 
0.4%
2023-12-09T22:29:26.448264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
99.3%
1 1
 
0.4%
6 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
99.3%
Decimal Number 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
99.3%
1 1
 
0.4%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
99.3%
1 1
 
0.4%
6 1
 
0.4%

swdappsperseat_prog4
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.0 KiB
2023-12-09T22:29:26.562071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters280
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
3 1
 
0.4%
4 1
 
0.4%
2023-12-09T22:29:26.780078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
99.3%
3 1
 
0.4%
4 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
99.3%
Decimal Number 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
99.3%
3 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
99.3%
3 1
 
0.4%
4 1
 
0.4%

swdseats_prog4
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.0 KiB
2023-12-09T22:29:26.886414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.003571429
Min length1

Characters and Unicode

Total characters281
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
3 1
 
0.4%
10 1
 
0.4%
2023-12-09T22:29:27.111072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
98.9%
3 1
 
0.4%
1 1
 
0.4%
0 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
98.9%
Decimal Number 3
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1
33.3%
1 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 281
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
98.9%
3 1
 
0.4%
1 1
 
0.4%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 281
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
98.9%
3 1
 
0.4%
1 1
 
0.4%
0 1
 
0.4%

geseats_prog4
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.0 KiB
2023-12-09T22:29:27.223131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.007142857
Min length1

Characters and Unicode

Total characters282
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
12 1
 
0.4%
75 1
 
0.4%
2023-12-09T22:29:27.472922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
98.6%
1 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
98.6%
Decimal Number 4
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
25.0%
2 1
25.0%
7 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
98.6%
1 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
98.6%
1 1
 
0.4%
2 1
 
0.4%
7 1
 
0.4%
5 1
 
0.4%

gefilled_prog4
Text

MISSING 

Distinct3
Distinct (%)1.4%
Missing262
Missing (%)55.3%
Memory size20.3 KiB
2023-12-09T22:29:27.587483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.018867925
Min length1

Characters and Unicode

Total characters216
Distinct characters6
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row.
2nd rowNo
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
209
98.6%
no 2
 
0.9%
yes 1
 
0.5%
2023-12-09T22:29:27.843320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 209
96.8%
N 2
 
0.9%
o 2
 
0.9%
Y 1
 
0.5%
e 1
 
0.5%
s 1
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 209
96.8%
Lowercase Letter 4
 
1.9%
Uppercase Letter 3
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2
50.0%
e 1
25.0%
s 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
66.7%
Y 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
96.8%
Latin 7
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 2
28.6%
o 2
28.6%
Y 1
14.3%
e 1
14.3%
s 1
14.3%
Common
ValueCountFrequency (%)
. 209
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 209
96.8%
N 2
 
0.9%
o 2
 
0.9%
Y 1
 
0.5%
e 1
 
0.5%
s 1
 
0.5%

swdfilled_prog4
Text

MISSING 

Distinct2
Distinct (%)0.9%
Missing262
Missing (%)55.3%
Memory size20.3 KiB
2023-12-09T22:29:27.958377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.014150943
Min length1

Characters and Unicode

Total characters215
Distinct characters3
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd rowNo
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
209
98.6%
no 3
 
1.4%
2023-12-09T22:29:28.187466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 209
97.2%
N 3
 
1.4%
o 3
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 209
97.2%
Uppercase Letter 3
 
1.4%
Lowercase Letter 3
 
1.4%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 209
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
97.2%
Latin 6
 
2.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 3
50.0%
o 3
50.0%
Common
ValueCountFrequency (%)
. 209
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 209
97.2%
N 3
 
1.4%
o 3
 
1.4%

eligibility_prog4
Text

MISSING 

Distinct6
Distinct (%)2.8%
Missing259
Missing (%)54.6%
Memory size20.6 KiB
2023-12-09T22:29:28.334833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length45
Median length1
Mean length2.106976744
Min length1

Characters and Unicode

Total characters453
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row.
2nd rowOpen to students residing in the zone
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
209
82.6%
open 6
 
2.4%
to 6
 
2.4%
students 6
 
2.4%
residing 3
 
1.2%
in 3
 
1.2%
the 3
 
1.2%
zone 3
 
1.2%
and 3
 
1.2%
residents 3
 
1.2%
Other values (5) 8
 
3.2%
2023-12-09T22:29:28.615504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 210
46.4%
38
 
8.4%
n 28
 
6.2%
t 28
 
6.2%
e 27
 
6.0%
s 23
 
5.1%
i 16
 
3.5%
d 15
 
3.3%
o 14
 
3.1%
r 9
 
2.0%
Other values (17) 45
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 210
46.4%
Lowercase Letter 192
42.4%
Space Separator 38
 
8.4%
Uppercase Letter 9
 
2.0%
Decimal Number 4
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 28
14.6%
t 28
14.6%
e 27
14.1%
s 23
12.0%
i 16
8.3%
d 15
7.8%
o 14
7.3%
r 9
 
4.7%
p 6
 
3.1%
u 6
 
3.1%
Other values (9) 20
10.4%
Uppercase Letter
ValueCountFrequency (%)
O 6
66.7%
D 2
 
22.2%
B 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 210
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
55.6%
Latin 201
44.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 28
13.9%
t 28
13.9%
e 27
13.4%
s 23
11.4%
i 16
8.0%
d 15
7.5%
o 14
7.0%
r 9
 
4.5%
p 6
 
3.0%
u 6
 
3.0%
Other values (12) 29
14.4%
Common
ValueCountFrequency (%)
. 210
83.3%
38
 
15.1%
1 2
 
0.8%
2 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 210
46.4%
38
 
8.4%
n 28
 
6.2%
t 28
 
6.2%
e 27
 
6.0%
s 23
 
5.1%
i 16
 
3.5%
d 15
 
3.3%
o 14
 
3.1%
r 9
 
2.0%
Other values (17) 45
 
9.9%

priority1_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:28.730680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:28.945940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority2_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:29.050724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:30.017016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority3_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:30.122743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:30.326681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority4_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:30.422555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:30.626710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority5_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:30.724300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:30.926047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority6_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:31.023314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:31.239052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority7_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:31.341995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:31.549933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

prefnote_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:31.652308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:31.859509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

lowestpriority_prog4
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing101
Missing (%)21.3%
Memory size24.6 KiB
2023-12-09T22:29:32.023138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length208
Median length1
Mean length1.554959786
Min length1

Characters and Unicode

Total characters580
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
372
93.5%
language 5
 
1.3%
of 2
 
0.5%
the 2
 
0.5%
target 2
 
0.5%
school-level 1
 
0.3%
programs 1
 
0.3%
education 1
 
0.3%
bilingual 1
 
0.3%
transitional 1
 
0.3%
Other values (10) 10
 
2.5%
2023-12-09T22:29:32.319590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 373
64.3%
25
 
4.3%
a 25
 
4.3%
e 20
 
3.4%
g 16
 
2.8%
n 15
 
2.6%
t 12
 
2.1%
l 11
 
1.9%
r 11
 
1.9%
i 10
 
1.7%
Other values (23) 62
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 375
64.7%
Lowercase Letter 163
28.1%
Space Separator 25
 
4.3%
Uppercase Letter 14
 
2.4%
Close Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 25
15.3%
e 20
12.3%
g 16
9.8%
n 15
9.2%
t 12
7.4%
l 11
6.7%
r 11
6.7%
i 10
 
6.1%
s 8
 
4.9%
u 8
 
4.9%
Other values (10) 27
16.6%
Uppercase Letter
ValueCountFrequency (%)
L 6
42.9%
E 3
21.4%
S 1
 
7.1%
H 1
 
7.1%
D 1
 
7.1%
T 1
 
7.1%
B 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 373
99.5%
, 2
 
0.5%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
69.5%
Latin 177
30.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 25
14.1%
e 20
11.3%
g 16
 
9.0%
n 15
 
8.5%
t 12
 
6.8%
l 11
 
6.2%
r 11
 
6.2%
i 10
 
5.6%
s 8
 
4.5%
u 8
 
4.5%
Other values (17) 41
23.2%
Common
ValueCountFrequency (%)
. 373
92.6%
25
 
6.2%
, 2
 
0.5%
) 1
 
0.2%
- 1
 
0.2%
( 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 373
64.3%
25
 
4.3%
a 25
 
4.3%
e 20
 
3.4%
g 16
 
2.8%
n 15
 
2.6%
t 12
 
2.1%
l 11
 
1.9%
r 11
 
1.9%
i 10
 
1.7%
Other values (23) 62
 
10.7%
Distinct3
Distinct (%)1.1%
Missing193
Missing (%)40.7%
Memory size22.3 KiB
2023-12-09T22:29:32.505342image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length107
Median length1
Mean length1.676156584
Min length1

Characters and Unicode

Total characters471
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
88.3%
ela 2
 
0.6%
4th 2
 
0.6%
math 2
 
0.6%
and 2
 
0.6%
exams 2
 
0.6%
state 2
 
0.6%
york 2
 
0.6%
new 2
 
0.6%
grade 2
 
0.6%
Other values (18) 19
 
6.0%
2023-12-09T22:29:32.805969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 279
59.2%
34
 
7.2%
t 19
 
4.0%
e 19
 
4.0%
a 14
 
3.0%
s 11
 
2.3%
r 9
 
1.9%
h 8
 
1.7%
o 8
 
1.7%
d 7
 
1.5%
Other values (26) 63
 
13.4%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 279
59.2%
Lowercase Letter 132
28.0%
Space Separator 34
 
7.2%
Uppercase Letter 22
 
4.7%
Decimal Number 4
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 19
14.4%
e 19
14.4%
a 14
10.6%
s 11
8.3%
r 9
 
6.8%
h 8
 
6.1%
o 8
 
6.1%
d 7
 
5.3%
n 6
 
4.5%
l 5
 
3.8%
Other values (11) 26
19.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
18.2%
S 3
13.6%
A 2
9.1%
M 2
9.1%
L 2
9.1%
Y 2
9.1%
N 2
9.1%
G 2
9.1%
T 2
9.1%
D 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 279
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 317
67.3%
Latin 154
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 19
 
12.3%
e 19
 
12.3%
a 14
 
9.1%
s 11
 
7.1%
r 9
 
5.8%
h 8
 
5.2%
o 8
 
5.2%
d 7
 
4.5%
n 6
 
3.9%
l 5
 
3.2%
Other values (21) 48
31.2%
Common
ValueCountFrequency (%)
. 279
88.0%
34
 
10.7%
4 2
 
0.6%
2 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 279
59.2%
34
 
7.2%
t 19
 
4.0%
e 19
 
4.0%
a 14
 
3.0%
s 11
 
2.3%
r 9
 
1.9%
h 8
 
1.7%
o 8
 
1.7%
d 7
 
1.5%
Other values (26) 63
 
13.4%
Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:32.943959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length26
Median length1
Mean length1.121428571
Min length1

Characters and Unicode

Total characters314
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
98.6%
attendance 2
 
0.7%
and 1
 
0.4%
punctuality 1
 
0.4%
2023-12-09T22:29:33.199879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
88.5%
t 6
 
1.9%
n 6
 
1.9%
e 4
 
1.3%
a 4
 
1.3%
d 3
 
1.0%
c 3
 
1.0%
A 2
 
0.6%
2
 
0.6%
u 2
 
0.6%
Other values (4) 4
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
88.5%
Lowercase Letter 31
 
9.9%
Uppercase Letter 3
 
1.0%
Space Separator 2
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 6
19.4%
n 6
19.4%
e 4
12.9%
a 4
12.9%
d 3
9.7%
c 3
9.7%
u 2
 
6.5%
l 1
 
3.2%
i 1
 
3.2%
y 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
P 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
89.2%
Latin 34
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 6
17.6%
n 6
17.6%
e 4
11.8%
a 4
11.8%
d 3
8.8%
c 3
8.8%
A 2
 
5.9%
u 2
 
5.9%
P 1
 
2.9%
l 1
 
2.9%
Other values (2) 2
 
5.9%
Common
ValueCountFrequency (%)
. 278
99.3%
2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
88.5%
t 6
 
1.9%
n 6
 
1.9%
e 4
 
1.3%
a 4
 
1.3%
d 3
 
1.0%
c 3
 
1.0%
A 2
 
0.6%
2
 
0.6%
u 2
 
0.6%
Other values (4) 4
 
1.3%
Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:33.337124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length1
Mean length1.132142857
Min length1

Characters and Unicode

Total characters317
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
98.6%
language 1
 
0.4%
proficiency 1
 
0.4%
assessment 1
 
0.4%
audition 1
 
0.4%
2023-12-09T22:29:33.596320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
87.7%
i 4
 
1.3%
n 4
 
1.3%
s 4
 
1.3%
e 4
 
1.3%
t 2
 
0.6%
A 2
 
0.6%
c 2
 
0.6%
o 2
 
0.6%
2
 
0.6%
Other values (10) 13
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
87.7%
Lowercase Letter 33
 
10.4%
Uppercase Letter 4
 
1.3%
Space Separator 2
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 4
12.1%
n 4
12.1%
s 4
12.1%
e 4
12.1%
t 2
 
6.1%
c 2
 
6.1%
o 2
 
6.1%
u 2
 
6.1%
g 2
 
6.1%
a 2
 
6.1%
Other values (5) 5
15.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
L 1
25.0%
P 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
88.3%
Latin 37
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 4
10.8%
n 4
10.8%
s 4
10.8%
e 4
10.8%
t 2
 
5.4%
A 2
 
5.4%
c 2
 
5.4%
o 2
 
5.4%
u 2
 
5.4%
g 2
 
5.4%
Other values (8) 9
24.3%
Common
ValueCountFrequency (%)
. 278
99.3%
2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
87.7%
i 4
 
1.3%
n 4
 
1.3%
s 4
 
1.3%
e 4
 
1.3%
t 2
 
0.6%
A 2
 
0.6%
c 2
 
0.6%
o 2
 
0.6%
2
 
0.6%
Other values (10) 13
 
4.1%
Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:33.732524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length19
Median length1
Mean length1.1
Min length1

Characters and Unicode

Total characters308
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
98.9%
punctuality 1
 
0.4%
entrance 1
 
0.4%
assessment 1
 
0.4%
2023-12-09T22:29:33.999678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
90.3%
n 4
 
1.3%
t 4
 
1.3%
s 4
 
1.3%
e 3
 
1.0%
u 2
 
0.6%
c 2
 
0.6%
a 2
 
0.6%
r 1
 
0.3%
A 1
 
0.3%
Other values (7) 7
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
90.3%
Lowercase Letter 26
 
8.4%
Uppercase Letter 3
 
1.0%
Space Separator 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 4
15.4%
t 4
15.4%
s 4
15.4%
e 3
11.5%
u 2
7.7%
c 2
7.7%
a 2
7.7%
r 1
 
3.8%
i 1
 
3.8%
y 1
 
3.8%
Other values (2) 2
7.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
E 1
33.3%
P 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 279
90.6%
Latin 29
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 4
13.8%
t 4
13.8%
s 4
13.8%
e 3
10.3%
u 2
 
6.9%
c 2
 
6.9%
a 2
 
6.9%
r 1
 
3.4%
A 1
 
3.4%
i 1
 
3.4%
Other values (5) 5
17.2%
Common
ValueCountFrequency (%)
. 278
99.6%
1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
90.3%
n 4
 
1.3%
t 4
 
1.3%
s 4
 
1.3%
e 3
 
1.0%
u 2
 
0.6%
c 2
 
0.6%
a 2
 
0.6%
r 1
 
0.3%
A 1
 
0.3%
Other values (7) 7
 
2.3%
Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:34.127401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length27
Median length1
Mean length1.071232877
Min length1

Characters and Unicode

Total characters391
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
98.6%
final 1
 
0.3%
4th 1
 
0.3%
grade 1
 
0.3%
report 1
 
0.3%
card 1
 
0.3%
2023-12-09T22:29:34.377172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
93.1%
4
 
1.0%
r 3
 
0.8%
a 3
 
0.8%
e 2
 
0.5%
t 2
 
0.5%
d 2
 
0.5%
o 1
 
0.3%
p 1
 
0.3%
R 1
 
0.3%
Other values (8) 8
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
93.1%
Lowercase Letter 18
 
4.6%
Space Separator 4
 
1.0%
Uppercase Letter 4
 
1.0%
Decimal Number 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 3
16.7%
a 3
16.7%
e 2
11.1%
t 2
11.1%
d 2
11.1%
o 1
 
5.6%
p 1
 
5.6%
h 1
 
5.6%
l 1
 
5.6%
n 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
G 1
25.0%
F 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 364
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 369
94.4%
Latin 22
 
5.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 3
13.6%
a 3
13.6%
e 2
 
9.1%
t 2
 
9.1%
d 2
 
9.1%
o 1
 
4.5%
p 1
 
4.5%
R 1
 
4.5%
h 1
 
4.5%
G 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
. 364
98.6%
4
 
1.1%
4 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
93.1%
4
 
1.0%
r 3
 
0.8%
a 3
 
0.8%
e 2
 
0.5%
t 2
 
0.5%
d 2
 
0.5%
o 1
 
0.3%
p 1
 
0.3%
R 1
 
0.3%
Other values (8) 8
 
2.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:34.478490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:34.678185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:34.775236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:34.979346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:35.076747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:35.280447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:35.376844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:35.582321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:35.680045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:35.880137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:35.976644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:36.182082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:36.284600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:36.487075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

revealed_prog4
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:36.583832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:36.786458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

code_prog5
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:36.894304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length1
Mean length1.028571429
Min length1

Characters and Unicode

Total characters288
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
k228z 1
 
0.4%
k113t 1
 
0.4%
2023-12-09T22:29:37.136713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
96.5%
K 2
 
0.7%
2 2
 
0.7%
1 2
 
0.7%
8 1
 
0.3%
Z 1
 
0.3%
3 1
 
0.3%
T 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
96.5%
Decimal Number 6
 
2.1%
Uppercase Letter 4
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
8 1
16.7%
3 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
Z 1
25.0%
T 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 284
98.6%
Latin 4
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 278
97.9%
2 2
 
0.7%
1 2
 
0.7%
8 1
 
0.4%
3 1
 
0.4%
Latin
ValueCountFrequency (%)
K 2
50.0%
Z 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
96.5%
K 2
 
0.7%
2 2
 
0.7%
1 2
 
0.7%
8 1
 
0.3%
Z 1
 
0.3%
3 1
 
0.3%
T 1
 
0.3%

name_prog5
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:37.299228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length1
Mean length1.317857143
Min length1

Characters and Unicode

Total characters369
Distinct characters34
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
279
95.2%
david 1
 
0.3%
a 1
 
0.3%
boody 1
 
0.3%
i.s 1
 
0.3%
228 1
 
0.3%
zoned 1
 
0.3%
program 1
 
0.3%
acats 1
 
0.3%
the 1
 
0.3%
Other values (5) 5
 
1.7%
2023-12-09T22:29:37.580555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 281
76.2%
13
 
3.5%
o 8
 
2.2%
e 7
 
1.9%
c 4
 
1.1%
d 4
 
1.1%
A 4
 
1.1%
n 3
 
0.8%
m 3
 
0.8%
r 3
 
0.8%
Other values (24) 39
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 282
76.4%
Lowercase Letter 50
 
13.6%
Uppercase Letter 17
 
4.6%
Space Separator 13
 
3.5%
Decimal Number 3
 
0.8%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 8
16.0%
e 7
14.0%
c 4
 
8.0%
d 4
 
8.0%
n 3
 
6.0%
m 3
 
6.0%
r 3
 
6.0%
y 3
 
6.0%
a 3
 
6.0%
h 2
 
4.0%
Other values (8) 10
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
23.5%
S 3
17.6%
T 3
17.6%
C 2
11.8%
Z 1
 
5.9%
P 1
 
5.9%
D 1
 
5.9%
I 1
 
5.9%
B 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 281
99.6%
& 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
8 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
81.8%
Latin 67
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 8
 
11.9%
e 7
 
10.4%
c 4
 
6.0%
d 4
 
6.0%
A 4
 
6.0%
n 3
 
4.5%
m 3
 
4.5%
r 3
 
4.5%
S 3
 
4.5%
y 3
 
4.5%
Other values (17) 25
37.3%
Common
ValueCountFrequency (%)
. 281
93.0%
13
 
4.3%
( 2
 
0.7%
2 2
 
0.7%
) 2
 
0.7%
& 1
 
0.3%
8 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 369
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 281
76.2%
13
 
3.5%
o 8
 
2.2%
e 7
 
1.9%
c 4
 
1.1%
d 4
 
1.1%
A 4
 
1.1%
n 3
 
0.8%
m 3
 
0.8%
r 3
 
0.8%
Other values (24) 39
 
10.6%
Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:37.710601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.039285714
Min length1

Characters and Unicode

Total characters291
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
99.3%
screened 1
 
0.4%
zoned 1
 
0.4%
2023-12-09T22:29:37.958117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
95.5%
e 4
 
1.4%
n 2
 
0.7%
d 2
 
0.7%
S 1
 
0.3%
c 1
 
0.3%
r 1
 
0.3%
Z 1
 
0.3%
o 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
95.5%
Lowercase Letter 11
 
3.8%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
n 2
18.2%
d 2
18.2%
c 1
 
9.1%
r 1
 
9.1%
o 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
Z 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
95.5%
Latin 13
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4
30.8%
n 2
15.4%
d 2
15.4%
S 1
 
7.7%
c 1
 
7.7%
r 1
 
7.7%
Z 1
 
7.7%
o 1
 
7.7%
Common
ValueCountFrequency (%)
. 278
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
95.5%
e 4
 
1.4%
n 2
 
0.7%
d 2
 
0.7%
S 1
 
0.3%
c 1
 
0.3%
r 1
 
0.3%
Z 1
 
0.3%
o 1
 
0.3%

geapps_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:38.062693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length1
Mean length1.005479452
Min length1

Characters and Unicode

Total characters367
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
145 1
 
0.3%
2023-12-09T22:29:38.306839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.2%
1 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.2%
Decimal Number 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
33.3%
4 1
33.3%
5 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.2%
1 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.2%
1 1
 
0.3%
4 1
 
0.3%
5 1
 
0.3%

swdapps_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:38.412788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.002739726
Min length1

Characters and Unicode

Total characters366
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
41 1
 
0.3%
2023-12-09T22:29:38.634900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.5%
4 1
 
0.3%
1 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1
50.0%
1 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.5%
4 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.5%
4 1
 
0.3%
1 1
 
0.3%

geappsperseat_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:38.737083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters365
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
2 1
 
0.3%
2023-12-09T22:29:38.957718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.7%
2 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.7%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 364
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.7%
2 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.7%
2 1
 
0.3%

swdappsperseat_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:39.061738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters365
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
4 1
 
0.3%
2023-12-09T22:29:39.287839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.7%
4 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.7%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 364
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.7%
4 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.7%
4 1
 
0.3%

swdseats_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:39.391358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.002739726
Min length1

Characters and Unicode

Total characters366
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
10 1
 
0.3%
2023-12-09T22:29:39.619514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.5%
1 1
 
0.3%
0 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.5%
1 1
 
0.3%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.5%
1 1
 
0.3%
0 1
 
0.3%

geseats_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:39.724595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.002739726
Min length1

Characters and Unicode

Total characters366
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
75 1
 
0.3%
2023-12-09T22:29:39.951170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.5%
7 1
 
0.3%
5 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
50.0%
5 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 366
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.5%
7 1
 
0.3%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 366
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.5%
7 1
 
0.3%
5 1
 
0.3%

gefilled_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:40.055126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters365
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
0 1
 
0.3%
2023-12-09T22:29:40.276907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.7%
0 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.7%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 364
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.7%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.7%
0 1
 
0.3%

swdfilled_prog5
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing109
Missing (%)23.0%
Memory size24.2 KiB
2023-12-09T22:29:40.380836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters365
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
364
99.7%
0 1
 
0.3%
2023-12-09T22:29:40.598666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 364
99.7%
0 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 364
99.7%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 364
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 365
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 364
99.7%
0 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 364
99.7%
0 1
 
0.3%

eligibility_prog5
Text

MISSING 

Distinct3
Distinct (%)1.1%
Missing194
Missing (%)40.9%
Memory size22.1 KiB
2023-12-09T22:29:40.739267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length45
Median length1
Mean length1.285714286
Min length1

Characters and Unicode

Total characters360
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
278
94.9%
open 2
 
0.7%
to 2
 
0.7%
students 2
 
0.7%
residing 1
 
0.3%
in 1
 
0.3%
the 1
 
0.3%
zone 1
 
0.3%
and 1
 
0.3%
residents 1
 
0.3%
Other values (3) 3
 
1.0%
2023-12-09T22:29:40.996088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 278
77.2%
13
 
3.6%
t 10
 
2.8%
e 9
 
2.5%
n 9
 
2.5%
s 8
 
2.2%
i 6
 
1.7%
d 5
 
1.4%
o 4
 
1.1%
r 3
 
0.8%
Other values (12) 15
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 278
77.2%
Lowercase Letter 64
 
17.8%
Space Separator 13
 
3.6%
Uppercase Letter 3
 
0.8%
Decimal Number 2
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 10
15.6%
e 9
14.1%
n 9
14.1%
s 8
12.5%
i 6
9.4%
d 5
7.8%
o 4
 
6.2%
r 3
 
4.7%
u 2
 
3.1%
p 2
 
3.1%
Other values (6) 6
9.4%
Uppercase Letter
ValueCountFrequency (%)
O 2
66.7%
D 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 278
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 293
81.4%
Latin 67
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 10
14.9%
e 9
13.4%
n 9
13.4%
s 8
11.9%
i 6
9.0%
d 5
7.5%
o 4
 
6.0%
r 3
 
4.5%
u 2
 
3.0%
O 2
 
3.0%
Other values (8) 9
13.4%
Common
ValueCountFrequency (%)
. 278
94.9%
13
 
4.4%
1 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 278
77.2%
13
 
3.6%
t 10
 
2.8%
e 9
 
2.5%
n 9
 
2.5%
s 8
 
2.2%
i 6
 
1.7%
d 5
 
1.4%
o 4
 
1.1%
r 3
 
0.8%
Other values (12) 15
 
4.2%

priority1_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:41.100335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:41.308009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority2_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:41.408716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:41.615422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority3_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:41.715514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:41.921021image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority4_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:42.018166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:42.225035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority5_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:42.324827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:42.530824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority6_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:42.629157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:42.834919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority7_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:42.930527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:43.130731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

prefnote_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:43.226902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:43.426449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

lowestpriority_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:43.528540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:43.731220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:43.829113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:44.031379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:44.130811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:44.335264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:44.432968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:45.521506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:45.619664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:45.822427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:45.922152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:46.132061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:46.230852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:46.437273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:46.535182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:46.747506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:46.846675image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:47.053238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:47.150529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:47.366204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:47.463124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:47.663576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:47.760549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:47.962798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:48.060774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:48.267768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

revealed_prog5
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:48.369501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:48.572991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

code_prog6
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing86
Missing (%)18.1%
Memory size24.8 KiB
2023-12-09T22:29:48.685238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length1
Mean length1.036082474
Min length1

Characters and Unicode

Total characters402
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
387
99.5%
talent 1
 
0.3%
programs 1
 
0.3%
2023-12-09T22:29:48.915974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 387
96.3%
a 2
 
0.5%
r 2
 
0.5%
T 1
 
0.2%
l 1
 
0.2%
e 1
 
0.2%
n 1
 
0.2%
t 1
 
0.2%
1
 
0.2%
P 1
 
0.2%
Other values (4) 4
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 387
96.3%
Lowercase Letter 12
 
3.0%
Uppercase Letter 2
 
0.5%
Space Separator 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
r 2
16.7%
l 1
8.3%
e 1
8.3%
n 1
8.3%
t 1
8.3%
o 1
8.3%
g 1
8.3%
m 1
8.3%
s 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
P 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 387
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 388
96.5%
Latin 14
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2
14.3%
r 2
14.3%
T 1
7.1%
l 1
7.1%
e 1
7.1%
n 1
7.1%
t 1
7.1%
P 1
7.1%
o 1
7.1%
g 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
. 387
99.7%
1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 387
96.3%
a 2
 
0.5%
r 2
 
0.5%
T 1
 
0.2%
l 1
 
0.2%
e 1
 
0.2%
n 1
 
0.2%
t 1
 
0.2%
1
 
0.2%
P 1
 
0.2%
Other values (4) 4
 
1.0%

name_prog6
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing86
Missing (%)18.1%
Memory size24.8 KiB
2023-12-09T22:29:49.054509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length1
Mean length1.100515464
Min length1

Characters and Unicode

Total characters427
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
387
98.2%
david 1
 
0.3%
a 1
 
0.3%
boody 1
 
0.3%
i.s 1
 
0.3%
228 1
 
0.3%
magnet 1
 
0.3%
program 1
 
0.3%
2023-12-09T22:29:49.324033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 390
91.3%
6
 
1.4%
a 3
 
0.7%
o 3
 
0.7%
r 2
 
0.5%
d 2
 
0.5%
g 2
 
0.5%
2 2
 
0.5%
8 1
 
0.2%
P 1
 
0.2%
Other values (15) 15
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 390
91.3%
Lowercase Letter 19
 
4.4%
Uppercase Letter 7
 
1.6%
Space Separator 6
 
1.4%
Decimal Number 3
 
0.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 3
15.8%
o 3
15.8%
r 2
10.5%
d 2
10.5%
g 2
10.5%
t 1
 
5.3%
e 1
 
5.3%
n 1
 
5.3%
y 1
 
5.3%
i 1
 
5.3%
Other values (2) 2
10.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
14.3%
M 1
14.3%
I 1
14.3%
S 1
14.3%
D 1
14.3%
B 1
14.3%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
8 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 390
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 401
93.9%
Latin 26
 
6.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 3
 
11.5%
o 3
 
11.5%
r 2
 
7.7%
d 2
 
7.7%
g 2
 
7.7%
P 1
 
3.8%
t 1
 
3.8%
e 1
 
3.8%
n 1
 
3.8%
M 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
. 390
97.3%
6
 
1.5%
2 2
 
0.5%
8 1
 
0.2%
) 1
 
0.2%
( 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 390
91.3%
6
 
1.4%
a 3
 
0.7%
o 3
 
0.7%
r 2
 
0.5%
d 2
 
0.5%
g 2
 
0.5%
2 2
 
0.5%
8 1
 
0.2%
P 1
 
0.2%
Other values (15) 15
 
3.5%
Distinct2
Distinct (%)0.5%
Missing86
Missing (%)18.1%
Memory size24.8 KiB
2023-12-09T22:29:49.441253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length1
Mean length1.025773196
Min length1

Characters and Unicode

Total characters398
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
387
99.5%
talent 1
 
0.3%
test 1
 
0.3%
2023-12-09T22:29:49.661363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 387
97.2%
T 2
 
0.5%
e 2
 
0.5%
t 2
 
0.5%
a 1
 
0.3%
l 1
 
0.3%
n 1
 
0.3%
1
 
0.3%
s 1
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 387
97.2%
Lowercase Letter 8
 
2.0%
Uppercase Letter 2
 
0.5%
Space Separator 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
t 2
25.0%
a 1
12.5%
l 1
12.5%
n 1
12.5%
s 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 387
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 388
97.5%
Latin 10
 
2.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 2
20.0%
e 2
20.0%
t 2
20.0%
a 1
10.0%
l 1
10.0%
n 1
10.0%
s 1
10.0%
Common
ValueCountFrequency (%)
. 387
99.7%
1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 398
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 387
97.2%
T 2
 
0.5%
e 2
 
0.5%
t 2
 
0.5%
a 1
 
0.3%
l 1
 
0.3%
n 1
 
0.3%
1
 
0.3%
s 1
 
0.3%

geapps_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:49.759710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:49.961054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

swdapps_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:50.060522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:50.266773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

geappsperseat_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:50.363405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:50.568240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

swdappsperseat_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:50.666199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:50.868501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

swdseats_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:50.964547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:51.165953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

geseats_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:51.262999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:51.467516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

gefilled_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:51.565769image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:51.779332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

swdfilled_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:51.881198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:52.089297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

eligibility_prog6
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing86
Missing (%)18.1%
Memory size24.8 KiB
2023-12-09T22:29:52.225242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length45
Median length1
Mean length1.113402062
Min length1

Characters and Unicode

Total characters432
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
387
98.0%
open 1
 
0.3%
to 1
 
0.3%
students 1
 
0.3%
and 1
 
0.3%
residents 1
 
0.3%
of 1
 
0.3%
district 1
 
0.3%
21 1
 
0.3%
2023-12-09T22:29:52.474501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 387
89.6%
7
 
1.6%
t 6
 
1.4%
s 5
 
1.2%
e 4
 
0.9%
n 4
 
0.9%
d 3
 
0.7%
i 3
 
0.7%
o 2
 
0.5%
r 2
 
0.5%
Other values (9) 9
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 387
89.6%
Lowercase Letter 34
 
7.9%
Space Separator 7
 
1.6%
Decimal Number 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 6
17.6%
s 5
14.7%
e 4
11.8%
n 4
11.8%
d 3
8.8%
i 3
8.8%
o 2
 
5.9%
r 2
 
5.9%
f 1
 
2.9%
c 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
O 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 387
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
91.7%
Latin 36
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 6
16.7%
s 5
13.9%
e 4
11.1%
n 4
11.1%
d 3
8.3%
i 3
8.3%
o 2
 
5.6%
r 2
 
5.6%
f 1
 
2.8%
c 1
 
2.8%
Other values (5) 5
13.9%
Common
ValueCountFrequency (%)
. 387
97.7%
7
 
1.8%
2 1
 
0.3%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 387
89.6%
7
 
1.6%
t 6
 
1.4%
s 5
 
1.2%
e 4
 
0.9%
n 4
 
0.9%
d 3
 
0.7%
i 3
 
0.7%
o 2
 
0.5%
r 2
 
0.5%
Other values (9) 9
 
2.1%

priority1_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:52.579966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:52.786476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority2_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:52.886324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:53.106091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority3_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:53.205896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:53.418096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority4_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:53.517185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:53.726600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority5_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:53.826699image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:54.034721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority6_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:54.134052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:54.350395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

priority7_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:54.450104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:54.657800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

prefnote_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:54.756619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:54.959089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

lowestpriority_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:55.057332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:55.266346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct2
Distinct (%)0.5%
Missing86
Missing (%)18.1%
Memory size24.9 KiB
2023-12-09T22:29:55.422238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length107
Median length1
Mean length1.273195876
Min length1

Characters and Unicode

Total characters494
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
387
95.3%
on 2
 
0.5%
based 1
 
0.2%
talent 1
 
0.2%
21 1
 
0.2%
district 1
 
0.2%
the 1
 
0.2%
score 1
 
0.2%
their 1
 
0.2%
selected 1
 
0.2%
Other values (9) 9
 
2.2%
2023-12-09T22:29:55.700138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 388
78.5%
18
 
3.6%
e 13
 
2.6%
t 11
 
2.2%
s 9
 
1.8%
o 6
 
1.2%
l 5
 
1.0%
r 5
 
1.0%
i 4
 
0.8%
n 4
 
0.8%
Other values (16) 31
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 388
78.5%
Lowercase Letter 82
 
16.6%
Space Separator 18
 
3.6%
Uppercase Letter 4
 
0.8%
Decimal Number 2
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 13
15.9%
t 11
13.4%
s 9
11.0%
o 6
 
7.3%
l 5
 
6.1%
r 5
 
6.1%
i 4
 
4.9%
n 4
 
4.9%
h 4
 
4.9%
a 4
 
4.9%
Other values (9) 17
20.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
S 1
25.0%
D 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 388
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
82.6%
Latin 86
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 13
15.1%
t 11
12.8%
s 9
10.5%
o 6
 
7.0%
l 5
 
5.8%
r 5
 
5.8%
i 4
 
4.7%
n 4
 
4.7%
h 4
 
4.7%
a 4
 
4.7%
Other values (12) 21
24.4%
Common
ValueCountFrequency (%)
. 388
95.1%
18
 
4.4%
2 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 388
78.5%
18
 
3.6%
e 13
 
2.6%
t 11
 
2.2%
s 9
 
1.8%
o 6
 
1.2%
l 5
 
1.0%
r 5
 
1.0%
i 4
 
0.8%
n 4
 
0.8%
Other values (16) 31
 
6.3%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:55.807516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:56.013306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:56.112298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:56.324710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:56.422532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:56.630944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:56.730593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:56.939752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:57.041106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:57.260966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:57.366485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:57.570001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:57.667582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:57.874405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:57.971464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:58.180148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:58.278499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:58.483160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:58.580752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:58.783971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%
Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:58.880916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:59.086941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

revealed_prog6
Text

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing1
Missing (%)0.2%
Memory size26.9 KiB
2023-12-09T22:29:59.186471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters473
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
473
100.0%
2023-12-09T22:29:59.386907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 473
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 473
100.0%

Most frequent character per category

Other Punctuation
ValueCountFrequency (%)
. 473
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 473
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 473
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 473
100.0%

coursepassrate
Text

MISSING 

Distinct42
Distinct (%)9.1%
Missing11
Missing (%)2.3%
Memory size27.2 KiB
2023-12-09T22:29:59.612447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.060475162
Min length2

Characters and Unicode

Total characters954
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.2%

Sample

1st row96
2nd row82
3rd row86
4th row93
5th row77
ValueCountFrequency (%)
99 49
 
10.6%
97 42
 
9.1%
95 31
 
6.7%
94 28
 
6.0%
100 28
 
6.0%
96 26
 
5.6%
91 25
 
5.4%
98 24
 
5.2%
93 23
 
5.0%
90 19
 
4.1%
Other values (32) 168
36.3%
2023-12-09T22:29:59.962171image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 354
37.1%
8 144
15.1%
7 87
 
9.1%
0 82
 
8.6%
6 64
 
6.7%
1 62
 
6.5%
5 45
 
4.7%
4 42
 
4.4%
3 38
 
4.0%
2 36
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 954
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 354
37.1%
8 144
15.1%
7 87
 
9.1%
0 82
 
8.6%
6 64
 
6.7%
1 62
 
6.5%
5 45
 
4.7%
4 42
 
4.4%
3 38
 
4.0%
2 36
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Common 954
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 354
37.1%
8 144
15.1%
7 87
 
9.1%
0 82
 
8.6%
6 64
 
6.7%
1 62
 
6.5%
5 45
 
4.7%
4 42
 
4.4%
3 38
 
4.0%
2 36
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 354
37.1%
8 144
15.1%
7 87
 
9.1%
0 82
 
8.6%
6 64
 
6.7%
1 62
 
6.5%
5 45
 
4.7%
4 42
 
4.4%
3 38
 
4.0%
2 36
 
3.8%

elaprof
Text

MISSING 

Distinct89
Distinct (%)19.2%
Missing10
Missing (%)2.1%
Memory size27.2 KiB
2023-12-09T22:30:00.283156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.987068966
Min length1

Characters and Unicode

Total characters922
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)4.3%

Sample

1st row30
2nd row15
3rd row20
4th row16
5th row11
ValueCountFrequency (%)
25 17
 
3.7%
22 15
 
3.2%
21 14
 
3.0%
29 14
 
3.0%
32 13
 
2.8%
19 13
 
2.8%
17 13
 
2.8%
16 13
 
2.8%
28 11
 
2.4%
20 11
 
2.4%
Other values (79) 330
71.1%
2023-12-09T22:30:00.737678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 167
18.1%
1 148
16.1%
3 125
13.6%
4 99
10.7%
5 92
10.0%
6 76
8.2%
9 58
 
6.3%
7 55
 
6.0%
8 55
 
6.0%
0 47
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 922
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 167
18.1%
1 148
16.1%
3 125
13.6%
4 99
10.7%
5 92
10.0%
6 76
8.2%
9 58
 
6.3%
7 55
 
6.0%
8 55
 
6.0%
0 47
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
Common 922
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 167
18.1%
1 148
16.1%
3 125
13.6%
4 99
10.7%
5 92
10.0%
6 76
8.2%
9 58
 
6.3%
7 55
 
6.0%
8 55
 
6.0%
0 47
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 922
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 167
18.1%
1 148
16.1%
3 125
13.6%
4 99
10.7%
5 92
10.0%
6 76
8.2%
9 58
 
6.3%
7 55
 
6.0%
8 55
 
6.0%
0 47
 
5.1%

mathprof
Text

MISSING 

Distinct96
Distinct (%)20.7%
Missing11
Missing (%)2.3%
Memory size27.1 KiB
2023-12-09T22:30:01.073390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.81425486
Min length1

Characters and Unicode

Total characters840
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)4.3%

Sample

1st row9
2nd row2
3rd row5
4th row8
5th row6
ValueCountFrequency (%)
9 17
 
3.7%
14 17
 
3.7%
11 16
 
3.5%
8 16
 
3.5%
6 14
 
3.0%
13 13
 
2.8%
7 13
 
2.8%
15 12
 
2.6%
31 12
 
2.6%
10 12
 
2.6%
Other values (86) 321
69.3%
2023-12-09T22:30:01.545050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 174
20.7%
3 103
12.3%
2 100
11.9%
4 93
11.1%
5 82
9.8%
6 71
8.5%
9 63
 
7.5%
7 57
 
6.8%
8 55
 
6.5%
0 42
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 840
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 174
20.7%
3 103
12.3%
2 100
11.9%
4 93
11.1%
5 82
9.8%
6 71
8.5%
9 63
 
7.5%
7 57
 
6.8%
8 55
 
6.5%
0 42
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 174
20.7%
3 103
12.3%
2 100
11.9%
4 93
11.1%
5 82
9.8%
6 71
8.5%
9 63
 
7.5%
7 57
 
6.8%
8 55
 
6.5%
0 42
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 174
20.7%
3 103
12.3%
2 100
11.9%
4 93
11.1%
5 82
9.8%
6 71
8.5%
9 63
 
7.5%
7 57
 
6.8%
8 55
 
6.5%
0 42
 
5.0%

tophs1
Text

MISSING 

Distinct240
Distinct (%)52.3%
Missing15
Missing (%)3.2%
Memory size41.6 KiB
2023-12-09T22:30:01.904007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length79
Median length59
Mean length34.59259259
Min length11

Characters and Unicode

Total characters15878
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)33.1%

Sample

1st rowMillennium Art Academy
2nd rowHigh School for Environmental Studies
3rd rowThurgood Marshall Academy for Learning and Social Change
4th rowThe Urban Assembly School of Design and Construction
5th rowEagle Academy for Young Men of Harlem
ValueCountFrequency (%)
school 369
 
15.4%
high 296
 
12.4%
for 96
 
4.0%
academy 83
 
3.5%
and 83
 
3.5%
the 44
 
1.8%
of 44
 
1.8%
arts 34
 
1.4%
bronx 31
 
1.3%
science 31
 
1.3%
Other values (350) 1278
53.5%
2023-12-09T22:30:02.452901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1930
 
12.2%
o 1491
 
9.4%
e 1041
 
6.6%
h 954
 
6.0%
a 901
 
5.7%
i 869
 
5.5%
l 837
 
5.3%
n 791
 
5.0%
r 779
 
4.9%
c 761
 
4.8%
Other values (59) 5524
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11540
72.7%
Uppercase Letter 2257
 
14.2%
Space Separator 1930
 
12.2%
Other Punctuation 116
 
0.7%
Decimal Number 17
 
0.1%
Dash Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1491
12.9%
e 1041
9.0%
h 954
 
8.3%
a 901
 
7.8%
i 869
 
7.5%
l 837
 
7.3%
n 791
 
6.9%
r 779
 
6.8%
c 761
 
6.6%
t 538
 
4.7%
Other values (16) 2578
22.3%
Uppercase Letter
ValueCountFrequency (%)
S 518
23.0%
H 380
16.8%
A 202
 
8.9%
C 175
 
7.8%
B 128
 
5.7%
M 114
 
5.1%
T 111
 
4.9%
E 94
 
4.2%
P 76
 
3.4%
L 66
 
2.9%
Other values (15) 393
17.4%
Decimal Number
ValueCountFrequency (%)
2 4
23.5%
3 3
17.6%
6 2
11.8%
7 2
11.8%
4 2
11.8%
1 2
11.8%
8 1
 
5.9%
0 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 56
48.3%
, 26
22.4%
: 14
 
12.1%
& 9
 
7.8%
' 7
 
6.0%
/ 4
 
3.4%
Space Separator
ValueCountFrequency (%)
1930
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13797
86.9%
Common 2081
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1491
 
10.8%
e 1041
 
7.5%
h 954
 
6.9%
a 901
 
6.5%
i 869
 
6.3%
l 837
 
6.1%
n 791
 
5.7%
r 779
 
5.6%
c 761
 
5.5%
t 538
 
3.9%
Other values (41) 4835
35.0%
Common
ValueCountFrequency (%)
1930
92.7%
. 56
 
2.7%
, 26
 
1.2%
: 14
 
0.7%
& 9
 
0.4%
' 7
 
0.3%
- 6
 
0.3%
( 6
 
0.3%
) 6
 
0.3%
2 4
 
0.2%
Other values (8) 17
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15878
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1930
 
12.2%
o 1491
 
9.4%
e 1041
 
6.6%
h 954
 
6.0%
a 901
 
5.7%
i 869
 
5.5%
l 837
 
5.3%
n 791
 
5.0%
r 779
 
4.9%
c 761
 
4.8%
Other values (59) 5524
34.8%

tophs2
Text

MISSING 

Distinct154
Distinct (%)47.7%
Missing151
Missing (%)31.9%
Memory size33.8 KiB
2023-12-09T22:30:02.821074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length79
Median length59
Mean length34.70897833
Min length16

Characters and Unicode

Total characters11211
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)24.8%

Sample

1st rowA. Philip Randolph Campus High School
2nd rowThurgood Marshall Academy for Learning and Social Change
3rd rowThe Global Learning Collaborative
4th rowStuyvesant High School
5th rowThurgood Marshall Academy for Learning and Social Change
ValueCountFrequency (%)
school 286
 
16.9%
high 260
 
15.3%
and 62
 
3.7%
for 46
 
2.7%
academy 41
 
2.4%
of 33
 
1.9%
technical 27
 
1.6%
the 25
 
1.5%
a 23
 
1.4%
arts 21
 
1.2%
Other values (266) 871
51.4%
2023-12-09T22:30:03.375504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1372
 
12.2%
o 1097
 
9.8%
h 755
 
6.7%
i 666
 
5.9%
e 662
 
5.9%
a 602
 
5.4%
l 594
 
5.3%
c 572
 
5.1%
r 552
 
4.9%
n 514
 
4.6%
Other values (51) 3825
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8119
72.4%
Uppercase Letter 1597
 
14.2%
Space Separator 1372
 
12.2%
Other Punctuation 101
 
0.9%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Dash Punctuation 5
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1097
13.5%
h 755
9.3%
i 666
 
8.2%
e 662
 
8.2%
a 602
 
7.4%
l 594
 
7.3%
c 572
 
7.0%
r 552
 
6.8%
n 514
 
6.3%
g 370
 
4.6%
Other values (16) 1735
21.4%
Uppercase Letter
ValueCountFrequency (%)
S 359
22.5%
H 299
18.7%
C 121
 
7.6%
A 119
 
7.5%
T 98
 
6.1%
B 80
 
5.0%
E 74
 
4.6%
M 71
 
4.4%
P 53
 
3.3%
L 50
 
3.1%
Other values (14) 273
17.1%
Other Punctuation
ValueCountFrequency (%)
. 63
62.4%
, 18
 
17.8%
& 11
 
10.9%
: 9
 
8.9%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
1372
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9716
86.7%
Common 1495
 
13.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1097
 
11.3%
h 755
 
7.8%
i 666
 
6.9%
e 662
 
6.8%
a 602
 
6.2%
l 594
 
6.1%
c 572
 
5.9%
r 552
 
5.7%
n 514
 
5.3%
g 370
 
3.8%
Other values (40) 3332
34.3%
Common
ValueCountFrequency (%)
1372
91.8%
. 63
 
4.2%
, 18
 
1.2%
& 11
 
0.7%
: 9
 
0.6%
( 7
 
0.5%
) 7
 
0.5%
- 5
 
0.3%
1 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1372
 
12.2%
o 1097
 
9.8%
h 755
 
6.7%
i 666
 
5.9%
e 662
 
5.9%
a 602
 
5.4%
l 594
 
5.3%
c 572
 
5.1%
r 552
 
4.9%
n 514
 
4.6%
Other values (51) 3825
34.1%

tophs3
Text

MISSING 

Distinct137
Distinct (%)53.7%
Missing219
Missing (%)46.2%
Memory size29.8 KiB
2023-12-09T22:30:03.713686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length73
Median length56
Mean length34.62352941
Min length1

Characters and Unicode

Total characters8829
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)33.3%

Sample

1st rowThe High School of Fashion Industries
2nd rowBronx River High School
3rd rowHarry S Truman High School
4th rowHigh School for Teaching and the Professions
5th rowThe Metropolitan Soundview High School
ValueCountFrequency (%)
school 224
 
16.8%
high 199
 
14.9%
and 66
 
4.9%
for 52
 
3.9%
technical 28
 
2.1%
the 26
 
1.9%
academy 25
 
1.9%
brooklyn 24
 
1.8%
of 24
 
1.8%
arts 21
 
1.6%
Other values (224) 648
48.5%
2023-12-09T22:30:04.233636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1082
 
12.3%
o 889
 
10.1%
h 576
 
6.5%
e 535
 
6.1%
i 522
 
5.9%
n 481
 
5.4%
a 467
 
5.3%
c 455
 
5.2%
l 448
 
5.1%
r 426
 
4.8%
Other values (46) 2948
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6483
73.4%
Uppercase Letter 1196
 
13.5%
Space Separator 1082
 
12.3%
Other Punctuation 62
 
0.7%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 889
13.7%
h 576
8.9%
e 535
 
8.3%
i 522
 
8.1%
n 481
 
7.4%
a 467
 
7.2%
c 455
 
7.0%
l 448
 
6.9%
r 426
 
6.6%
g 284
 
4.4%
Other values (15) 1400
21.6%
Uppercase Letter
ValueCountFrequency (%)
S 280
23.4%
H 236
19.7%
T 82
 
6.9%
C 79
 
6.6%
A 78
 
6.5%
B 75
 
6.3%
M 59
 
4.9%
E 47
 
3.9%
L 42
 
3.5%
P 35
 
2.9%
Other values (14) 183
15.3%
Other Punctuation
ValueCountFrequency (%)
. 44
71.0%
, 10
 
16.1%
& 7
 
11.3%
: 1
 
1.6%
Space Separator
ValueCountFrequency (%)
1082
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7679
87.0%
Common 1150
 
13.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 889
 
11.6%
h 576
 
7.5%
e 535
 
7.0%
i 522
 
6.8%
n 481
 
6.3%
a 467
 
6.1%
c 455
 
5.9%
l 448
 
5.8%
r 426
 
5.5%
g 284
 
3.7%
Other values (39) 2596
33.8%
Common
ValueCountFrequency (%)
1082
94.1%
. 44
 
3.8%
, 10
 
0.9%
& 7
 
0.6%
( 3
 
0.3%
) 3
 
0.3%
: 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8829
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1082
 
12.3%
o 889
 
10.1%
h 576
 
6.5%
e 535
 
6.1%
i 522
 
5.9%
n 481
 
5.4%
a 467
 
5.3%
c 455
 
5.2%
l 448
 
5.1%
r 426
 
4.8%
Other values (46) 2948
33.4%

surveysafety
Text

MISSING 

Distinct44
Distinct (%)9.5%
Missing9
Missing (%)1.9%
Memory size27.2 KiB
2023-12-09T22:30:04.490879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.004301075
Min length2

Characters and Unicode

Total characters932
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)1.5%

Sample

1st row92
2nd row82
3rd row69
4th row63
5th row78
ValueCountFrequency (%)
89 25
 
5.4%
85 23
 
4.9%
86 23
 
4.9%
83 22
 
4.7%
87 22
 
4.7%
81 21
 
4.5%
91 20
 
4.3%
94 20
 
4.3%
90 20
 
4.3%
84 19
 
4.1%
Other values (34) 250
53.8%
2023-12-09T22:30:04.855027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 239
25.6%
9 173
18.6%
7 152
16.3%
6 75
 
8.0%
5 57
 
6.1%
1 56
 
6.0%
4 52
 
5.6%
3 46
 
4.9%
0 41
 
4.4%
2 41
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 932
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 239
25.6%
9 173
18.6%
7 152
16.3%
6 75
 
8.0%
5 57
 
6.1%
1 56
 
6.0%
4 52
 
5.6%
3 46
 
4.9%
0 41
 
4.4%
2 41
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
Common 932
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 239
25.6%
9 173
18.6%
7 152
16.3%
6 75
 
8.0%
5 57
 
6.1%
1 56
 
6.0%
4 52
 
5.6%
3 46
 
4.9%
0 41
 
4.4%
2 41
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 239
25.6%
9 173
18.6%
7 152
16.3%
6 75
 
8.0%
5 57
 
6.1%
1 56
 
6.0%
4 52
 
5.6%
3 46
 
4.9%
0 41
 
4.4%
2 41
 
4.4%
Distinct374
Distinct (%)79.2%
Missing2
Missing (%)0.4%
Memory size27.9 KiB
2023-12-09T22:30:05.404886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.163135593
Min length2

Characters and Unicode

Total characters1493
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)63.1%

Sample

1st row151
2nd row661
3rd row479
4th row435
5th row318
ValueCountFrequency (%)
567 5
 
1.1%
267 5
 
1.1%
339 4
 
0.8%
245 3
 
0.6%
224 3
 
0.6%
496 3
 
0.6%
336 3
 
0.6%
681 3
 
0.6%
399 3
 
0.6%
332 3
 
0.6%
Other values (364) 437
92.6%
2023-12-09T22:30:06.041291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 206
13.8%
3 184
12.3%
6 169
11.3%
5 161
10.8%
2 156
10.4%
4 143
9.6%
7 126
8.4%
9 123
8.2%
0 111
7.4%
8 110
7.4%
Other values (4) 4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1489
99.7%
Uppercase Letter 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 206
13.8%
3 184
12.4%
6 169
11.3%
5 161
10.8%
2 156
10.5%
4 143
9.6%
7 126
8.5%
9 123
8.3%
0 111
7.5%
8 110
7.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
B 1
33.3%
D 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1490
99.8%
Latin 3
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 206
13.8%
3 184
12.3%
6 169
11.3%
5 161
10.8%
2 156
10.5%
4 143
9.6%
7 126
8.5%
9 123
8.3%
0 111
7.4%
8 110
7.4%
Latin
ValueCountFrequency (%)
T 1
33.3%
B 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 206
13.8%
3 184
12.3%
6 169
11.3%
5 161
10.8%
2 156
10.4%
4 143
9.6%
7 126
8.4%
9 123
8.2%
0 111
7.4%
8 110
7.4%
Other values (4) 4
 
0.3%
Distinct21
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size29.5 KiB
2023-12-09T22:30:06.238375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length6
Mean length6.369198312
Min length3

Characters and Unicode

Total characters3019
Distinct characters36
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.1%

Sample

1st rowGr 6-8
2nd rowGr K-8
3rd rowGr K-8
4th rowGr K-8
5th rowGr 6-12
ValueCountFrequency (%)
gr 418
44.5%
6-8 252
26.8%
k-8 131
 
13.9%
6-12 76
 
8.1%
school 6
 
0.6%
grades 6
 
0.6%
by 6
 
0.6%
fall 6
 
0.6%
will 5
 
0.5%
serve 5
 
0.5%
Other values (15) 29
 
3.1%
2023-12-09T22:30:06.545187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 477
15.8%
466
15.4%
r 428
14.2%
G 418
13.8%
8 390
12.9%
6 337
11.2%
K 138
 
4.6%
2 91
 
3.0%
1 82
 
2.7%
l 30
 
1.0%
Other values (26) 162
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 925
30.6%
Uppercase Letter 572
18.9%
Lowercase Letter 566
18.7%
Dash Punctuation 477
15.8%
Space Separator 466
15.4%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 428
75.6%
l 30
 
5.3%
e 18
 
3.2%
a 12
 
2.1%
o 12
 
2.1%
s 12
 
2.1%
c 6
 
1.1%
y 6
 
1.1%
h 6
 
1.1%
d 6
 
1.1%
Other values (5) 30
 
5.3%
Decimal Number
ValueCountFrequency (%)
8 390
42.2%
6 337
36.4%
2 91
 
9.8%
1 82
 
8.9%
0 12
 
1.3%
7 4
 
0.4%
9 3
 
0.3%
5 3
 
0.3%
4 2
 
0.2%
3 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
G 418
73.1%
K 138
 
24.1%
F 6
 
1.0%
S 6
 
1.0%
P 2
 
0.3%
R 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 477
100.0%
Space Separator
ValueCountFrequency (%)
466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1881
62.3%
Latin 1138
37.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 428
37.6%
G 418
36.7%
K 138
 
12.1%
l 30
 
2.6%
e 18
 
1.6%
a 12
 
1.1%
o 12
 
1.1%
s 12
 
1.1%
c 6
 
0.5%
F 6
 
0.5%
Other values (11) 58
 
5.1%
Common
ValueCountFrequency (%)
- 477
25.4%
466
24.8%
8 390
20.7%
6 337
17.9%
2 91
 
4.8%
1 82
 
4.4%
0 12
 
0.6%
) 6
 
0.3%
( 6
 
0.3%
7 4
 
0.2%
Other values (5) 10
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 477
15.8%
466
15.4%
r 428
14.2%
G 418
13.8%
8 390
12.9%
6 337
11.2%
K 138
 
4.6%
2 91
 
3.0%
1 82
 
2.7%
l 30
 
1.0%
Other values (26) 162
 
5.4%
Distinct43
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size29.8 KiB
2023-12-09T22:30:06.849378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length62
Median length2
Mean length7.080168776
Min length2

Characters and Unicode

Total characters3356
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)4.9%

Sample

1st rowYes, East Side House, Inc.
2nd rowYes, Sports and Arts in Schools Foundation, Inc.
3rd rowYes, Graham Windham
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 389
49.5%
yes 85
 
10.8%
inc 29
 
3.7%
the 15
 
1.9%
schools 14
 
1.8%
children's 10
 
1.3%
leadership 10
 
1.3%
of 9
 
1.1%
program 8
 
1.0%
york 8
 
1.0%
Other values (82) 209
26.6%
2023-12-09T22:30:08.502455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 528
15.7%
N 407
 
12.1%
312
 
9.3%
e 272
 
8.1%
s 188
 
5.6%
r 140
 
4.2%
n 135
 
4.0%
i 132
 
3.9%
, 110
 
3.3%
t 107
 
3.2%
Other values (48) 1025
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2076
61.9%
Uppercase Letter 818
 
24.4%
Space Separator 312
 
9.3%
Other Punctuation 146
 
4.4%
Decimal Number 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 407
49.8%
Y 97
 
11.9%
S 58
 
7.1%
C 48
 
5.9%
I 42
 
5.1%
A 30
 
3.7%
P 26
 
3.2%
T 17
 
2.1%
L 17
 
2.1%
E 11
 
1.3%
Other values (15) 65
 
7.9%
Lowercase Letter
ValueCountFrequency (%)
o 528
25.4%
e 272
13.1%
s 188
 
9.1%
r 140
 
6.7%
n 135
 
6.5%
i 132
 
6.4%
t 107
 
5.2%
h 87
 
4.2%
a 86
 
4.1%
c 71
 
3.4%
Other values (14) 330
15.9%
Other Punctuation
ValueCountFrequency (%)
, 110
75.3%
. 24
 
16.4%
' 11
 
7.5%
& 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2894
86.2%
Common 462
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 528
18.2%
N 407
14.1%
e 272
 
9.4%
s 188
 
6.5%
r 140
 
4.8%
n 135
 
4.7%
i 132
 
4.6%
t 107
 
3.7%
Y 97
 
3.4%
h 87
 
3.0%
Other values (39) 801
27.7%
Common
ValueCountFrequency (%)
312
67.5%
, 110
 
23.8%
. 24
 
5.2%
' 11
 
2.4%
& 1
 
0.2%
3 1
 
0.2%
6 1
 
0.2%
0 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3355
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 528
15.7%
N 407
 
12.1%
312
 
9.3%
e 272
 
8.1%
s 188
 
5.6%
r 140
 
4.2%
n 135
 
4.0%
i 132
 
3.9%
, 110
 
3.3%
t 107
 
3.2%
Other values (47) 1024
30.5%
None
ValueCountFrequency (%)
é 1
100.0%
Distinct119
Distinct (%)25.2%
Missing1
Missing (%)0.2%
Memory size31.9 KiB
2023-12-09T22:30:08.920450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length11.62579281
Min length3

Characters and Unicode

Total characters5499
Distinct characters37
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)17.5%

Sample

1st row8:10am-2:30pm
2nd row8am-2:20pm
3rd row8am-3:35pm
4th row8am-2:20pm
5th row7:45am-2:20pm
ValueCountFrequency (%)
8am-2:20pm 150
30.7%
8:20am-2:40pm 52
 
10.7%
8:10am-2:30pm 49
 
10.0%
8:15am-2:35pm 20
 
4.1%
8:30am-2:50pm 13
 
2.7%
8:05am-2:25pm 10
 
2.0%
8am-2:50pm 9
 
1.8%
8:40am-3pm 8
 
1.6%
8am-3:20pm 6
 
1.2%
9am-3:20pm 5
 
1.0%
Other values (116) 166
34.0%
2023-12-09T22:30:09.488585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 942
17.1%
: 715
13.0%
2 656
11.9%
0 555
10.1%
a 474
8.6%
- 472
8.6%
p 471
8.6%
8 440
8.0%
3 211
 
3.8%
5 210
 
3.8%
Other values (27) 353
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2374
43.2%
Lowercase Letter 1905
34.6%
Other Punctuation 718
 
13.1%
Dash Punctuation 472
 
8.6%
Space Separator 15
 
0.3%
Uppercase Letter 13
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 942
49.4%
a 474
24.9%
p 471
24.7%
s 3
 
0.2%
y 3
 
0.2%
n 2
 
0.1%
i 2
 
0.1%
r 2
 
0.1%
d 2
 
0.1%
o 2
 
0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 656
27.6%
0 555
23.4%
8 440
18.5%
3 211
 
8.9%
5 210
 
8.8%
4 122
 
5.1%
1 120
 
5.1%
7 37
 
1.6%
9 14
 
0.6%
6 9
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
M 3
23.1%
T 2
15.4%
D 2
15.4%
B 2
15.4%
A 1
 
7.7%
P 1
 
7.7%
V 1
 
7.7%
F 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
: 715
99.6%
; 2
 
0.3%
* 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 472
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3581
65.1%
Latin 1918
34.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 942
49.1%
a 474
24.7%
p 471
24.6%
s 3
 
0.2%
y 3
 
0.2%
M 3
 
0.2%
n 2
 
0.1%
i 2
 
0.1%
r 2
 
0.1%
T 2
 
0.1%
Other values (10) 14
 
0.7%
Common
ValueCountFrequency (%)
: 715
20.0%
2 656
18.3%
0 555
15.5%
- 472
13.2%
8 440
12.3%
3 211
 
5.9%
5 210
 
5.9%
4 122
 
3.4%
1 120
 
3.4%
7 37
 
1.0%
Other values (7) 43
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 942
17.1%
: 715
13.0%
2 656
11.9%
0 555
10.1%
a 474
8.6%
- 472
8.6%
p 471
8.6%
8 440
8.0%
3 211
 
3.8%
5 210
 
3.8%
Other values (27) 353
 
6.4%
Distinct23
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size40.4 KiB
2023-12-09T22:30:09.707489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length53
Mean length12.83544304
Min length2

Characters and Unicode

Total characters6084
Distinct characters32
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.1%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes
ValueCountFrequency (%)
yes 218
20.5%
no 134
12.6%
or 73
 
6.9%
and 68
 
6.4%
colors 67
 
6.3%
styles 67
 
6.3%
yes—top 65
 
6.1%
uniform 48
 
4.5%
bottom-specific 46
 
4.3%
must 43
 
4.1%
Other values (18) 232
21.9%
2023-12-09T22:30:10.060438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 742
12.2%
o 646
 
10.6%
e 593
 
9.7%
587
 
9.6%
Y 340
 
5.6%
c 317
 
5.2%
i 297
 
4.9%
t 252
 
4.1%
r 242
 
4.0%
f 218
 
3.6%
Other values (22) 1850
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4671
76.8%
Uppercase Letter 597
 
9.8%
Space Separator 587
 
9.6%
Dash Punctuation 178
 
2.9%
Other Punctuation 49
 
0.8%
Control 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 742
15.9%
o 646
13.8%
e 593
12.7%
c 317
 
6.8%
i 297
 
6.4%
t 252
 
5.4%
r 242
 
5.2%
f 218
 
4.7%
l 205
 
4.4%
p 196
 
4.2%
Other values (9) 963
20.6%
Uppercase Letter
ValueCountFrequency (%)
Y 340
57.0%
N 134
 
22.4%
T 74
 
12.4%
O 49
 
8.2%
Dash Punctuation
ValueCountFrequency (%)
106
59.6%
- 57
32.0%
15
 
8.4%
Other Punctuation
ValueCountFrequency (%)
, 35
71.4%
. 9
 
18.4%
; 5
 
10.2%
Control
ValueCountFrequency (%)
— 1
50.0%
– 1
50.0%
Space Separator
ValueCountFrequency (%)
587
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5268
86.6%
Common 816
 
13.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 742
14.1%
o 646
12.3%
e 593
11.3%
Y 340
 
6.5%
c 317
 
6.0%
i 297
 
5.6%
t 252
 
4.8%
r 242
 
4.6%
f 218
 
4.1%
l 205
 
3.9%
Other values (13) 1416
26.9%
Common
ValueCountFrequency (%)
587
71.9%
106
 
13.0%
- 57
 
7.0%
, 35
 
4.3%
15
 
1.8%
. 9
 
1.1%
; 5
 
0.6%
— 1
 
0.1%
– 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5961
98.0%
Punctuation 121
 
2.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 742
12.4%
o 646
 
10.8%
e 593
 
9.9%
587
 
9.8%
Y 340
 
5.7%
c 317
 
5.3%
i 297
 
5.0%
t 252
 
4.2%
r 242
 
4.1%
f 218
 
3.7%
Other values (18) 1727
29.0%
Punctuation
ValueCountFrequency (%)
106
87.6%
15
 
12.4%
None
ValueCountFrequency (%)
— 1
50.0%
– 1
50.0%
Distinct19
Distinct (%)4.0%
Missing2
Missing (%)0.4%
Memory size42.0 KiB
2023-12-09T22:30:10.269798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length120
Median length25
Mean length33.81991525
Min length3

Characters and Unicode

Total characters15963
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)2.5%

Sample

1st rowEnglish as a New Language
2nd rowEnglish as a New Language
3rd rowEnglish as a New Language
4th rowEnglish as a New Language, Transitional Bilingual Education: Spanish
5th rowEnglish as a New Language
ValueCountFrequency (%)
language 534
19.1%
a 471
16.9%
new 471
16.9%
english 470
16.8%
as 470
16.8%
spanish 101
 
3.6%
dual 63
 
2.3%
transitional 62
 
2.2%
bilingual 61
 
2.2%
education 61
 
2.2%
Other values (12) 29
 
1.0%
2023-12-09T22:30:10.633030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2431
15.2%
2321
14.5%
g 1602
10.0%
n 1374
8.6%
s 1123
 
7.0%
e 1040
 
6.5%
i 906
 
5.7%
l 723
 
4.5%
u 723
 
4.5%
h 588
 
3.7%
Other values (23) 3132
19.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11537
72.3%
Space Separator 2321
 
14.5%
Uppercase Letter 1855
 
11.6%
Other Punctuation 250
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2431
21.1%
g 1602
13.9%
n 1374
11.9%
s 1123
9.7%
e 1040
9.0%
i 906
 
7.9%
l 723
 
6.3%
u 723
 
6.3%
h 588
 
5.1%
w 472
 
4.1%
Other values (7) 555
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
L 534
28.8%
E 533
28.7%
N 471
25.4%
S 101
 
5.4%
B 64
 
3.5%
D 64
 
3.5%
T 63
 
3.4%
C 15
 
0.8%
H 3
 
0.2%
F 2
 
0.1%
Other values (3) 5
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 125
50.0%
, 125
50.0%
Space Separator
ValueCountFrequency (%)
2321
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13392
83.9%
Common 2571
 
16.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2431
18.2%
g 1602
12.0%
n 1374
10.3%
s 1123
8.4%
e 1040
7.8%
i 906
 
6.8%
l 723
 
5.4%
u 723
 
5.4%
h 588
 
4.4%
L 534
 
4.0%
Other values (20) 2348
17.5%
Common
ValueCountFrequency (%)
2321
90.3%
: 125
 
4.9%
, 125
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2431
15.2%
2321
14.5%
g 1602
10.0%
n 1374
8.6%
s 1123
 
7.0%
e 1040
 
6.5%
i 906
 
5.7%
l 723
 
4.5%
u 723
 
4.5%
h 588
 
3.7%
Other values (23) 3132
19.6%
Distinct24
Distinct (%)5.1%
Missing2
Missing (%)0.4%
Memory size42.7 KiB
2023-12-09T22:30:10.859843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length38
Mean length10.57627119
Min length2

Characters and Unicode

Total characters4992
Distinct characters39
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.1%

Sample

1st rowNo
2nd rowNo
3rd rowYes—Expected
4th rowYes—Offered
5th rowYes—50+ hours expected by graduation
ValueCountFrequency (%)
no 188
27.6%
yes–offered 99
14.5%
yes–expected 70
 
10.3%
hours 52
 
7.6%
expected 51
 
7.5%
by 51
 
7.5%
graduation 51
 
7.5%
yes—offered 25
 
3.7%
yes–10-30 23
 
3.4%
yes–€“offered 11
 
1.6%
Other values (22) 61
 
8.9%
2023-12-09T22:30:11.231328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 896
17.9%
s 336
 
6.7%
d 331
 
6.6%
o 294
 
5.9%
Y 283
 
5.7%
f 276
 
5.5%
r 243
 
4.9%
238
 
4.8%
210
 
4.2%
t 193
 
3.9%
Other values (29) 1692
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3513
70.4%
Uppercase Letter 702
 
14.1%
Dash Punctuation 322
 
6.5%
Space Separator 210
 
4.2%
Decimal Number 186
 
3.7%
Control 48
 
1.0%
Math Symbol 11
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 896
25.5%
s 336
 
9.6%
d 331
 
9.4%
o 294
 
8.4%
f 276
 
7.9%
r 243
 
6.9%
t 193
 
5.5%
p 143
 
4.1%
c 143
 
4.1%
x 142
 
4.0%
Other values (9) 516
14.7%
Uppercase Letter
ValueCountFrequency (%)
Y 283
40.3%
N 188
26.8%
O 137
19.5%
E 91
 
13.0%
T 1
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 80
43.0%
1 42
22.6%
3 41
22.0%
5 22
 
11.8%
2 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
238
73.9%
43
 
13.4%
- 41
 
12.7%
Control
ValueCountFrequency (%)
€ 23
47.9%
“ 20
41.7%
– 5
 
10.4%
Space Separator
ValueCountFrequency (%)
210
100.0%
Math Symbol
ValueCountFrequency (%)
+ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4215
84.4%
Common 777
 
15.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 896
21.3%
s 336
 
8.0%
d 331
 
7.9%
o 294
 
7.0%
Y 283
 
6.7%
f 276
 
6.5%
r 243
 
5.8%
t 193
 
4.6%
N 188
 
4.5%
p 143
 
3.4%
Other values (16) 1032
24.5%
Common
ValueCountFrequency (%)
238
30.6%
210
27.0%
0 80
 
10.3%
43
 
5.5%
1 42
 
5.4%
3 41
 
5.3%
- 41
 
5.3%
€ 23
 
3.0%
5 22
 
2.8%
“ 20
 
2.6%
Other values (3) 17
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4663
93.4%
Punctuation 281
 
5.6%
None 48
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 896
19.2%
s 336
 
7.2%
d 331
 
7.1%
o 294
 
6.3%
Y 283
 
6.1%
f 276
 
5.9%
r 243
 
5.2%
210
 
4.5%
t 193
 
4.1%
N 188
 
4.0%
Other values (24) 1413
30.3%
Punctuation
ValueCountFrequency (%)
238
84.7%
43
 
15.3%
None
ValueCountFrequency (%)
€ 23
47.9%
“ 20
41.7%
– 5
 
10.4%

extendedday
Text

MISSING 

Distinct15
Distinct (%)3.2%
Missing5
Missing (%)1.1%
Memory size33.0 KiB
2023-12-09T22:30:11.420743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length29
Median length3
Mean length5.759061834
Min length2

Characters and Unicode

Total characters2701
Distinct characters24
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.9%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes
ValueCountFrequency (%)
yes 298
61.8%
no 71
 
14.7%
yes–after-school 63
 
13.1%
yes—after-school 10
 
2.1%
yes––after-school 7
 
1.5%
after-school 6
 
1.2%
and 6
 
1.2%
yes–before-school 4
 
0.8%
yes––after-school 4
 
0.8%
yes–before 3
 
0.6%
Other values (7) 10
 
2.1%
2023-12-09T22:30:11.737279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 512
19.0%
s 397
14.7%
Y 396
14.7%
o 279
10.3%
- 105
 
3.9%
r 104
 
3.9%
f 104
 
3.9%
l 98
 
3.6%
h 98
 
3.6%
c 98
 
3.6%
Other values (14) 510
18.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1801
66.7%
Uppercase Letter 673
 
24.9%
Dash Punctuation 201
 
7.4%
Control 13
 
0.5%
Space Separator 13
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 512
28.4%
s 397
22.0%
o 279
15.5%
r 104
 
5.8%
f 104
 
5.8%
l 98
 
5.4%
h 98
 
5.4%
c 98
 
5.4%
t 92
 
5.1%
a 7
 
0.4%
Other values (2) 12
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
Y 396
58.8%
S 97
 
14.4%
A 91
 
13.5%
N 71
 
10.5%
B 14
 
2.1%
T 2
 
0.3%
D 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 105
52.2%
83
41.3%
13
 
6.5%
Control
ValueCountFrequency (%)
– 13
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2474
91.6%
Common 227
 
8.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 512
20.7%
s 397
16.0%
Y 396
16.0%
o 279
11.3%
r 104
 
4.2%
f 104
 
4.2%
l 98
 
4.0%
h 98
 
4.0%
c 98
 
4.0%
S 97
 
3.9%
Other values (9) 291
11.8%
Common
ValueCountFrequency (%)
- 105
46.3%
83
36.6%
13
 
5.7%
– 13
 
5.7%
13
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2592
96.0%
Punctuation 96
 
3.6%
None 13
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 512
19.8%
s 397
15.3%
Y 396
15.3%
o 279
10.8%
- 105
 
4.1%
r 104
 
4.0%
f 104
 
4.0%
l 98
 
3.8%
h 98
 
3.8%
c 98
 
3.8%
Other values (11) 401
15.5%
Punctuation
ValueCountFrequency (%)
83
86.5%
13
 
13.5%
None
ValueCountFrequency (%)
– 13
100.0%
Distinct29
Distinct (%)6.1%
Missing2
Missing (%)0.4%
Memory size48.0 KiB
2023-12-09T22:30:11.957497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length71
Median length70
Mean length19.08898305
Min length2

Characters and Unicode

Total characters9010
Distinct characters32
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.1%

Sample

1st rowNo
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes—For incoming sixth graders.
ValueCountFrequency (%)
support 171
13.0%
no 168
12.8%
and 121
9.2%
for 114
8.7%
yes 112
8.5%
yes–academic 101
7.7%
enrichment 89
 
6.8%
certain 82
 
6.2%
students 82
 
6.2%
incoming 51
 
3.9%
Other values (16) 225
17.1%
2023-12-09T22:30:12.333823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 868
 
9.6%
844
 
9.4%
s 740
 
8.2%
r 609
 
6.8%
c 566
 
6.3%
n 565
 
6.3%
t 557
 
6.2%
o 555
 
6.2%
i 496
 
5.5%
a 454
 
5.0%
Other values (22) 2756
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7150
79.4%
Space Separator 844
 
9.4%
Uppercase Letter 669
 
7.4%
Dash Punctuation 191
 
2.1%
Other Punctuation 129
 
1.4%
Control 27
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 868
12.1%
s 740
10.3%
r 609
8.5%
c 566
7.9%
n 565
7.9%
t 557
7.8%
o 555
7.8%
i 496
 
6.9%
a 454
 
6.3%
d 426
 
6.0%
Other values (7) 1314
18.4%
Uppercase Letter
ValueCountFrequency (%)
Y 303
45.3%
N 168
25.1%
A 144
21.5%
F 51
 
7.6%
T 1
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
158
82.7%
32
 
16.8%
- 1
 
0.5%
Control
ValueCountFrequency (%)
“ 11
40.7%
€ 10
37.0%
– 6
22.2%
Space Separator
ValueCountFrequency (%)
844
100.0%
Other Punctuation
ValueCountFrequency (%)
. 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7819
86.8%
Common 1191
 
13.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 868
11.1%
s 740
 
9.5%
r 609
 
7.8%
c 566
 
7.2%
n 565
 
7.2%
t 557
 
7.1%
o 555
 
7.1%
i 496
 
6.3%
a 454
 
5.8%
d 426
 
5.4%
Other values (14) 1983
25.4%
Common
ValueCountFrequency (%)
844
70.9%
158
 
13.3%
. 129
 
10.8%
32
 
2.7%
“ 11
 
0.9%
€ 10
 
0.8%
– 6
 
0.5%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8793
97.6%
Punctuation 190
 
2.1%
None 27
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 868
 
9.9%
844
 
9.6%
s 740
 
8.4%
r 609
 
6.9%
c 566
 
6.4%
n 565
 
6.4%
t 557
 
6.3%
o 555
 
6.3%
i 496
 
5.6%
a 454
 
5.2%
Other values (17) 2539
28.9%
Punctuation
ValueCountFrequency (%)
158
83.2%
32
 
16.8%
None
ValueCountFrequency (%)
“ 11
40.7%
€ 10
37.0%
– 6
22.2%
Distinct25
Distinct (%)5.3%
Missing3
Missing (%)0.6%
Memory size53.5 KiB
2023-12-09T22:30:12.540818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length59
Median length57
Mean length23.48619958
Min length2

Characters and Unicode

Total characters11062
Distinct characters31
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)1.5%

Sample

1st rowNo
2nd rowYes—Saturday program for certain students.
3rd rowYes
4th rowYes—Saturday program for test prep
5th rowYes—Saturday program
ValueCountFrequency (%)
program 245
15.8%
for 205
13.2%
yes–saturday 185
11.9%
no 151
9.7%
academic 110
7.1%
support 110
7.1%
and 110
7.1%
enrichment 110
7.1%
yes 74
 
4.8%
prep 65
 
4.2%
Other values (10) 186
12.0%
2023-12-09T22:30:12.889274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 1255
 
11.3%
a 1095
 
9.9%
1080
 
9.8%
e 839
 
7.6%
o 711
 
6.4%
t 685
 
6.2%
p 595
 
5.4%
s 554
 
5.0%
d 495
 
4.5%
m 465
 
4.2%
Other values (21) 3288
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8884
80.3%
Space Separator 1080
 
9.8%
Uppercase Letter 718
 
6.5%
Dash Punctuation 245
 
2.2%
Other Punctuation 94
 
0.8%
Control 41
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1255
14.1%
a 1095
12.3%
e 839
9.4%
o 711
 
8.0%
t 685
 
7.7%
p 595
 
6.7%
s 554
 
6.2%
d 495
 
5.6%
m 465
 
5.2%
n 390
 
4.4%
Other values (7) 1800
20.3%
Uppercase Letter
ValueCountFrequency (%)
Y 319
44.4%
S 245
34.1%
N 151
21.0%
T 1
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
210
85.7%
34
 
13.9%
- 1
 
0.4%
Control
ValueCountFrequency (%)
€ 17
41.5%
“ 16
39.0%
– 8
19.5%
Space Separator
ValueCountFrequency (%)
1080
100.0%
Other Punctuation
ValueCountFrequency (%)
. 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9602
86.8%
Common 1460
 
13.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1255
13.1%
a 1095
11.4%
e 839
 
8.7%
o 711
 
7.4%
t 685
 
7.1%
p 595
 
6.2%
s 554
 
5.8%
d 495
 
5.2%
m 465
 
4.8%
n 390
 
4.1%
Other values (13) 2518
26.2%
Common
ValueCountFrequency (%)
1080
74.0%
210
 
14.4%
. 94
 
6.4%
34
 
2.3%
€ 17
 
1.2%
“ 16
 
1.1%
– 8
 
0.5%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10777
97.4%
Punctuation 244
 
2.2%
None 41
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 1255
11.6%
a 1095
 
10.2%
1080
 
10.0%
e 839
 
7.8%
o 711
 
6.6%
t 685
 
6.4%
p 595
 
5.5%
s 554
 
5.1%
d 495
 
4.6%
m 465
 
4.3%
Other values (16) 3003
27.9%
Punctuation
ValueCountFrequency (%)
210
86.1%
34
 
13.9%
None
ValueCountFrequency (%)
€ 17
41.5%
“ 16
39.0%
– 8
19.5%

languageclasses
Text

MISSING 

Distinct35
Distinct (%)9.8%
Missing116
Missing (%)24.5%
Memory size27.0 KiB
2023-12-09T22:30:13.108522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length7
Mean length9.645251397
Min length5

Characters and Unicode

Total characters3453
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)5.6%

Sample

1st rowSpanish
2nd rowSpanish
3rd rowLatin, Spanish
4th rowFrench
5th rowSpanish
ValueCountFrequency (%)
spanish 313
65.6%
french 35
 
7.3%
italian 22
 
4.6%
mandarin 21
 
4.4%
language 14
 
2.9%
latin 11
 
2.3%
american 8
 
1.7%
sign 8
 
1.7%
other 6
 
1.3%
korean 4
 
0.8%
Other values (27) 35
 
7.3%
2023-12-09T22:30:13.485358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 478
13.8%
a 468
13.6%
i 394
11.4%
h 356
10.3%
s 327
9.5%
S 321
9.3%
p 316
9.2%
119
 
3.4%
e 103
 
3.0%
r 88
 
2.5%
Other values (31) 483
14.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2789
80.8%
Uppercase Letter 463
 
13.4%
Space Separator 119
 
3.4%
Other Punctuation 82
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 478
17.1%
a 468
16.8%
i 394
14.1%
h 356
12.8%
s 327
11.7%
p 316
11.3%
e 103
 
3.7%
r 88
 
3.2%
t 55
 
2.0%
c 49
 
1.8%
Other values (11) 155
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
S 321
69.3%
F 35
 
7.6%
L 25
 
5.4%
I 22
 
4.8%
M 21
 
4.5%
A 10
 
2.2%
O 6
 
1.3%
K 4
 
0.9%
C 4
 
0.9%
G 4
 
0.9%
Other values (7) 11
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 80
97.6%
. 2
 
2.4%
Space Separator
ValueCountFrequency (%)
119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3252
94.2%
Common 201
 
5.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 478
14.7%
a 468
14.4%
i 394
12.1%
h 356
10.9%
s 327
10.1%
S 321
9.9%
p 316
9.7%
e 103
 
3.2%
r 88
 
2.7%
t 55
 
1.7%
Other values (28) 346
10.6%
Common
ValueCountFrequency (%)
119
59.2%
, 80
39.8%
. 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 478
13.8%
a 468
13.6%
i 394
11.4%
h 356
10.3%
s 327
9.5%
S 321
9.3%
p 316
9.2%
119
 
3.4%
e 103
 
3.0%
r 88
 
2.5%
Other values (31) 483
14.0%

acceleratedclasses
Text

MISSING 

Distinct59
Distinct (%)16.1%
Missing107
Missing (%)22.6%
Memory size34.5 KiB
2023-12-09T22:30:13.699618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length108
Median length92
Mean length29.50408719
Min length6

Characters and Unicode

Total characters10828
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)10.4%

Sample

1st rowAlgebra I, Living Environment
2nd rowAlgebra I, Living Environment
3rd rowAlgebra I
4th rowAlgebra I, Earth Science, Geometry, US History
5th rowAlgebra I
ValueCountFrequency (%)
algebra 325
20.8%
i 323
20.7%
living 236
15.1%
environment 236
15.1%
history 84
 
5.4%
spanish 82
 
5.2%
us 78
 
5.0%
science 63
 
4.0%
earth 62
 
4.0%
english 23
 
1.5%
Other values (19) 50
 
3.2%
2023-12-09T22:30:14.073744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1195
 
11.0%
n 1136
 
10.5%
i 975
 
9.0%
r 732
 
6.8%
e 725
 
6.7%
g 584
 
5.4%
a 493
 
4.6%
, 476
 
4.4%
v 472
 
4.4%
t 405
 
3.7%
Other values (23) 3635
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7525
69.5%
Uppercase Letter 1630
 
15.1%
Space Separator 1195
 
11.0%
Other Punctuation 478
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1136
15.1%
i 975
13.0%
r 732
9.7%
e 725
9.6%
g 584
7.8%
a 493
 
6.6%
v 472
 
6.3%
t 405
 
5.4%
l 369
 
4.9%
o 348
 
4.6%
Other values (8) 1286
17.1%
Uppercase Letter
ValueCountFrequency (%)
I 332
20.4%
A 325
19.9%
E 321
19.7%
L 237
14.5%
S 223
13.7%
H 84
 
5.2%
U 78
 
4.8%
G 13
 
0.8%
F 9
 
0.6%
C 4
 
0.2%
Other values (2) 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 476
99.6%
. 2
 
0.4%
Space Separator
ValueCountFrequency (%)
1195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9155
84.5%
Common 1673
 
15.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1136
 
12.4%
i 975
 
10.6%
r 732
 
8.0%
e 725
 
7.9%
g 584
 
6.4%
a 493
 
5.4%
v 472
 
5.2%
t 405
 
4.4%
l 369
 
4.0%
o 348
 
3.8%
Other values (20) 2916
31.9%
Common
ValueCountFrequency (%)
1195
71.4%
, 476
 
28.5%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1195
 
11.0%
n 1136
 
10.5%
i 975
 
9.0%
r 732
 
6.8%
e 725
 
6.7%
g 584
 
5.4%
a 493
 
4.6%
, 476
 
4.4%
v 472
 
4.4%
t 405
 
3.7%
Other values (23) 3635
33.6%

electiveclasses
Text

MISSING 

Distinct424
Distinct (%)99.3%
Missing47
Missing (%)9.9%
Memory size80.0 KiB
2023-12-09T22:30:14.469760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length513
Median length232
Mean length128.264637
Min length3

Characters and Unicode

Total characters54769
Distinct characters77
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique421 ?
Unique (%)98.6%

Sample

1st rowNYC Specialized High School Preparatory Course, Spanish, Writing Workshop Course
2nd rowArt Enrichment, Chess, Coding, English as a New Language, Extended Day Small Group Instruction, Music, Ogilvy One Career Readiness Program, Urban Advantage Science Program, Visual Arts
3rd rowGifted and Talented Classes, Regents Classes
4th rowAdvisory, Art, Introduction to Typing, Math Lab, Virtual Enterprise (Business & Entrepreneurship Class)
5th rowArt, Awareness and Discussion of Teen Issues, Debate, Drama, Film Discussion, Gaming, Philosophy, Photography, Sports, Technology
ValueCountFrequency (%)
art 213
 
3.0%
music 203
 
2.8%
arts 187
 
2.6%
dance 172
 
2.4%
and 164
 
2.3%
visual 141
 
2.0%
technology 117
 
1.6%
band 96
 
1.3%
science 80
 
1.1%
program 80
 
1.1%
Other values (1354) 5751
79.8%
2023-12-09T22:30:15.046198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6777
 
12.4%
e 4279
 
7.8%
a 3354
 
6.1%
i 3179
 
5.8%
r 3173
 
5.8%
n 3148
 
5.7%
t 2863
 
5.2%
o 2798
 
5.1%
, 2618
 
4.8%
s 2525
 
4.6%
Other values (67) 20055
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38014
69.4%
Space Separator 6777
 
12.4%
Uppercase Letter 6545
 
12.0%
Other Punctuation 2948
 
5.4%
Close Punctuation 155
 
0.3%
Open Punctuation 155
 
0.3%
Dash Punctuation 103
 
0.2%
Decimal Number 69
 
0.1%
Final Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4279
11.3%
a 3354
 
8.8%
i 3179
 
8.4%
r 3173
 
8.3%
n 3148
 
8.3%
t 2863
 
7.5%
o 2798
 
7.4%
s 2525
 
6.6%
c 1836
 
4.8%
l 1668
 
4.4%
Other values (16) 9191
24.2%
Uppercase Letter
ValueCountFrequency (%)
A 773
11.8%
S 752
11.5%
C 665
10.2%
M 543
 
8.3%
D 454
 
6.9%
P 439
 
6.7%
T 430
 
6.6%
E 383
 
5.9%
L 260
 
4.0%
R 239
 
3.7%
Other values (16) 1607
24.6%
Decimal Number
ValueCountFrequency (%)
1 14
20.3%
3 13
18.8%
0 10
14.5%
2 10
14.5%
4 7
10.1%
6 6
8.7%
8 4
 
5.8%
7 3
 
4.3%
9 1
 
1.4%
5 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 2618
88.8%
; 88
 
3.0%
/ 71
 
2.4%
: 54
 
1.8%
. 53
 
1.8%
& 41
 
1.4%
' 15
 
0.5%
" 6
 
0.2%
! 2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 100
97.1%
3
 
2.9%
Space Separator
ValueCountFrequency (%)
6777
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44559
81.4%
Common 10210
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4279
 
9.6%
a 3354
 
7.5%
i 3179
 
7.1%
r 3173
 
7.1%
n 3148
 
7.1%
t 2863
 
6.4%
o 2798
 
6.3%
s 2525
 
5.7%
c 1836
 
4.1%
l 1668
 
3.7%
Other values (42) 15736
35.3%
Common
ValueCountFrequency (%)
6777
66.4%
, 2618
 
25.6%
) 155
 
1.5%
( 155
 
1.5%
- 100
 
1.0%
; 88
 
0.9%
/ 71
 
0.7%
: 54
 
0.5%
. 53
 
0.5%
& 41
 
0.4%
Other values (15) 98
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54763
> 99.9%
Punctuation 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6777
 
12.4%
e 4279
 
7.8%
a 3354
 
6.1%
i 3179
 
5.8%
r 3173
 
5.8%
n 3148
 
5.7%
t 2863
 
5.2%
o 2798
 
5.1%
, 2618
 
4.8%
s 2525
 
4.6%
Other values (65) 20049
36.6%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Distinct472
Distinct (%)100.0%
Missing2
Missing (%)0.4%
Memory size158.3 KiB
2023-12-09T22:30:15.449968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length554
Median length339.5
Mean length257.8474576
Min length17

Characters and Unicode

Total characters121704
Distinct characters87
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique472 ?
Unique (%)100.0%

Sample

1st rowBoys Leadership; Chess; Comic Book Illustration; Cooking Club; Drama Clubs; Girls Leadership; Keyboarding Club; PHIPPS-Writing; Program Partners: New York Ballet Theater, Repertotrio Español, NY Tennis League, Good Shepherd Services; Robotics; Service Learning; Student Congress; United Nations Jr. Ambassadors; Yoga
2nd rowK-5 Afterschool, Tuesday-Friday 6-8 Afterschool, Monday-Friday 8th Grade: Overnight Trip to Washington, DC; Graduation MS Trips Partnerships: Sports and Arts; Urban Advantage; HBO
3rd rowAccelerated Reader Program; Achievement Mentoring Program; Art and Design; Career Explorations; Chess; Chorus; College Campus Tours; Creative Arts Team; Graham Windham Beacon Program; Technology; Theater and Improvisation Program; YMCA After-School Program
4th rowAccelerated Reading Program, Advanced Math and Science, Chorus, City College In Arms Reach Program; Columbia University Heights to Heights Program; Cooking; Debate Team; Finley Helping Hands; Girls Club; Peer Mediation; Performing Arts; Radio Club; Sewing; STEM; Technology; Video and Photography; Vocal Music; YES Program
5th rowArt; Bridge Gold Foundation; Chess; Coding; Debate; Drumline; Eagle Travel Abroad Program; Eagle X Fitness Training; Fordham STEP; Harlem Educational Activities Fund; Mentoring; School Newspaper; STEM Pilot Club; Step; Student Government; Tech Squad and Robotics
ValueCountFrequency (%)
club 622
 
3.9%
program 390
 
2.4%
and 385
 
2.4%
student 258
 
1.6%
dance 233
 
1.5%
arts 212
 
1.3%
school 202
 
1.3%
201
 
1.3%
team 197
 
1.2%
after-school 181
 
1.1%
Other values (2499) 13150
82.0%
2023-12-09T22:30:16.042009image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15554
 
12.8%
e 9357
 
7.7%
o 7151
 
5.9%
a 7007
 
5.8%
r 6996
 
5.7%
n 6225
 
5.1%
i 6173
 
5.1%
t 6126
 
5.0%
s 4562
 
3.7%
l 4458
 
3.7%
Other values (77) 48095
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 82279
67.6%
Uppercase Letter 16407
 
13.5%
Space Separator 15559
 
12.8%
Other Punctuation 6293
 
5.2%
Dash Punctuation 417
 
0.3%
Open Punctuation 257
 
0.2%
Close Punctuation 257
 
0.2%
Decimal Number 191
 
0.2%
Final Punctuation 41
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9357
11.4%
o 7151
 
8.7%
a 7007
 
8.5%
r 6996
 
8.5%
n 6225
 
7.6%
i 6173
 
7.5%
t 6126
 
7.4%
s 4562
 
5.5%
l 4458
 
5.4%
c 3389
 
4.1%
Other values (19) 20835
25.3%
Uppercase Letter
ValueCountFrequency (%)
S 2254
13.7%
C 2240
13.7%
A 1453
 
8.9%
P 1250
 
7.6%
T 1113
 
6.8%
M 999
 
6.1%
D 818
 
5.0%
B 806
 
4.9%
G 654
 
4.0%
E 606
 
3.7%
Other values (16) 4214
25.7%
Other Punctuation
ValueCountFrequency (%)
; 3854
61.2%
, 1920
30.5%
/ 167
 
2.7%
. 113
 
1.8%
: 101
 
1.6%
& 92
 
1.5%
' 36
 
0.6%
! 5
 
0.1%
" 2
 
< 0.1%
% 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 41
21.5%
0 41
21.5%
5 23
12.0%
2 23
12.0%
1 16
 
8.4%
8 13
 
6.8%
4 12
 
6.3%
6 10
 
5.2%
7 7
 
3.7%
9 5
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 412
98.8%
3
 
0.7%
2
 
0.5%
Space Separator
ValueCountFrequency (%)
15554
> 99.9%
  5
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
40
97.6%
1
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 257
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 98686
81.1%
Common 23018
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9357
 
9.5%
o 7151
 
7.2%
a 7007
 
7.1%
r 6996
 
7.1%
n 6225
 
6.3%
i 6173
 
6.3%
t 6126
 
6.2%
s 4562
 
4.6%
l 4458
 
4.5%
c 3389
 
3.4%
Other values (45) 37242
37.7%
Common
ValueCountFrequency (%)
15554
67.6%
; 3854
 
16.7%
, 1920
 
8.3%
- 412
 
1.8%
( 257
 
1.1%
) 257
 
1.1%
/ 167
 
0.7%
. 113
 
0.5%
: 101
 
0.4%
& 92
 
0.4%
Other values (22) 291
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121648
> 99.9%
Punctuation 47
 
< 0.1%
None 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15554
 
12.8%
e 9357
 
7.7%
o 7151
 
5.9%
a 7007
 
5.8%
r 6996
 
5.8%
n 6225
 
5.1%
i 6173
 
5.1%
t 6126
 
5.0%
s 4562
 
3.8%
l 4458
 
3.7%
Other values (68) 48039
39.5%
Punctuation
ValueCountFrequency (%)
40
85.1%
3
 
6.4%
2
 
4.3%
1
 
2.1%
1
 
2.1%
None
ValueCountFrequency (%)
  5
55.6%
ñ 2
 
22.2%
é 1
 
11.1%
í 1
 
11.1%

champsboys
Text

MISSING 

Distinct24
Distinct (%)19.0%
Missing348
Missing (%)73.4%
Memory size20.2 KiB
2023-12-09T22:30:16.287450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length42
Median length39
Mean length18.13492063
Min length1

Characters and Unicode

Total characters2285
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)10.3%

Sample

1st rowSoccer, Track and Field
2nd rowBasketball League
3rd rowBasketball League
4th rowDevelopmental Basketball
5th rowBasketball League, Flag Football
ValueCountFrequency (%)
basketball 86
31.3%
league 68
24.7%
developmental 18
 
6.5%
flag 18
 
6.5%
baseball 16
 
5.8%
football 16
 
5.8%
soccer 12
 
4.4%
fitness 12
 
4.4%
club 12
 
4.4%
3
 
1.1%
Other values (12) 14
 
5.1%
2023-12-09T22:30:16.652498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 328
14.4%
e 320
14.0%
l 307
13.4%
149
 
6.5%
t 134
 
5.9%
b 134
 
5.9%
s 131
 
5.7%
B 104
 
4.6%
k 88
 
3.9%
g 88
 
3.9%
Other values (22) 502
22.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1836
80.4%
Uppercase Letter 271
 
11.9%
Space Separator 149
 
6.5%
Other Punctuation 29
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 328
17.9%
e 320
17.4%
l 307
16.7%
t 134
7.3%
b 134
7.3%
s 131
 
7.1%
k 88
 
4.8%
g 88
 
4.8%
u 83
 
4.5%
o 70
 
3.8%
Other values (10) 153
8.3%
Uppercase Letter
ValueCountFrequency (%)
B 104
38.4%
L 68
25.1%
F 48
17.7%
D 18
 
6.6%
C 14
 
5.2%
S 13
 
4.8%
T 3
 
1.1%
R 2
 
0.7%
H 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 26
89.7%
. 3
 
10.3%
Space Separator
ValueCountFrequency (%)
149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2107
92.2%
Common 178
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 328
15.6%
e 320
15.2%
l 307
14.6%
t 134
 
6.4%
b 134
 
6.4%
s 131
 
6.2%
B 104
 
4.9%
k 88
 
4.2%
g 88
 
4.2%
u 83
 
3.9%
Other values (19) 390
18.5%
Common
ValueCountFrequency (%)
149
83.7%
, 26
 
14.6%
. 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 328
14.4%
e 320
14.0%
l 307
13.4%
149
 
6.5%
t 134
 
5.9%
b 134
 
5.9%
s 131
 
5.7%
B 104
 
4.6%
k 88
 
3.9%
g 88
 
3.9%
Other values (22) 502
22.0%

champsgirls
Text

MISSING 

Distinct31
Distinct (%)24.4%
Missing347
Missing (%)73.2%
Memory size20.3 KiB
2023-12-09T22:30:16.870529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length48
Median length37
Mean length18.5511811
Min length1

Characters and Unicode

Total characters2356
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)13.4%

Sample

1st rowBasketball League
2nd rowStep
3rd rowBasketball League
4th rowVolleyball
5th rowBasketball League
ValueCountFrequency (%)
volleyball 86
31.9%
league 81
30.0%
basketball 40
14.8%
softball 12
 
4.4%
developmental 9
 
3.3%
girls 5
 
1.9%
step 4
 
1.5%
dance 4
 
1.5%
flag 3
 
1.1%
3
 
1.1%
Other values (14) 23
 
8.5%
2023-12-09T22:30:17.224597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 486
20.6%
e 335
14.2%
a 286
12.1%
b 145
 
6.2%
143
 
6.1%
o 115
 
4.9%
y 88
 
3.7%
g 87
 
3.7%
V 86
 
3.7%
u 85
 
3.6%
Other values (26) 500
21.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1907
80.9%
Uppercase Letter 265
 
11.2%
Space Separator 143
 
6.1%
Other Punctuation 41
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 486
25.5%
e 335
17.6%
a 286
15.0%
b 145
 
7.6%
o 115
 
6.0%
y 88
 
4.6%
g 87
 
4.6%
u 85
 
4.5%
t 73
 
3.8%
s 54
 
2.8%
Other values (11) 153
 
8.0%
Uppercase Letter
ValueCountFrequency (%)
V 86
32.5%
L 81
30.6%
B 41
15.5%
S 18
 
6.8%
D 13
 
4.9%
F 10
 
3.8%
G 6
 
2.3%
C 4
 
1.5%
T 3
 
1.1%
R 1
 
0.4%
Other values (2) 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 38
92.7%
. 3
 
7.3%
Space Separator
ValueCountFrequency (%)
143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2172
92.2%
Common 184
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 486
22.4%
e 335
15.4%
a 286
13.2%
b 145
 
6.7%
o 115
 
5.3%
y 88
 
4.1%
g 87
 
4.0%
V 86
 
4.0%
u 85
 
3.9%
L 81
 
3.7%
Other values (23) 378
17.4%
Common
ValueCountFrequency (%)
143
77.7%
, 38
 
20.7%
. 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2356
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 486
20.6%
e 335
14.2%
a 286
12.1%
b 145
 
6.2%
143
 
6.1%
o 115
 
4.9%
y 88
 
3.7%
g 87
 
3.7%
V 86
 
3.7%
u 85
 
3.6%
Other values (26) 500
21.2%

champscoed
Text

MISSING 

Distinct157
Distinct (%)48.8%
Missing152
Missing (%)32.1%
Memory size31.9 KiB
2023-12-09T22:30:17.471366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length82
Median length62
Mean length28.81055901
Min length5

Characters and Unicode

Total characters9277
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)35.1%

Sample

1st rowFitness Club, Track and Field
2nd rowFitness Club
3rd rowBaseball, Flag Football
4th rowBasketball League
5th rowFlag Rugby
ValueCountFrequency (%)
fitness 110
 
9.2%
club 110
 
9.2%
basketball 99
 
8.2%
flag 98
 
8.2%
soccer 81
 
6.7%
football 78
 
6.5%
developmental 76
 
6.3%
volleyball 70
 
5.8%
field 62
 
5.2%
and 62
 
5.2%
Other values (34) 356
29.6%
2023-12-09T22:30:17.893326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1191
12.8%
880
 
9.5%
e 826
 
8.9%
a 810
 
8.7%
o 534
 
5.8%
t 449
 
4.8%
b 436
 
4.7%
s 424
 
4.6%
n 385
 
4.2%
, 370
 
4.0%
Other values (36) 2972
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6882
74.2%
Uppercase Letter 1138
 
12.3%
Space Separator 880
 
9.5%
Other Punctuation 370
 
4.0%
Close Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Format 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1191
17.3%
e 826
12.0%
a 810
11.8%
o 534
7.8%
t 449
 
6.5%
b 436
 
6.3%
s 424
 
6.2%
n 385
 
5.6%
c 277
 
4.0%
r 231
 
3.4%
Other values (12) 1319
19.2%
Uppercase Letter
ValueCountFrequency (%)
F 366
32.2%
C 168
14.8%
B 129
 
11.3%
D 104
 
9.1%
S 102
 
9.0%
T 93
 
8.2%
V 70
 
6.2%
L 26
 
2.3%
H 25
 
2.2%
R 20
 
1.8%
Other values (8) 35
 
3.1%
Space Separator
ValueCountFrequency (%)
880
100.0%
Other Punctuation
ValueCountFrequency (%)
, 370
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Format
ValueCountFrequency (%)
 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8020
86.5%
Common 1257
 
13.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1191
14.9%
e 826
 
10.3%
a 810
 
10.1%
o 534
 
6.7%
t 449
 
5.6%
b 436
 
5.4%
s 424
 
5.3%
n 385
 
4.8%
F 366
 
4.6%
c 277
 
3.5%
Other values (30) 2322
29.0%
Common
ValueCountFrequency (%)
880
70.0%
, 370
29.4%
) 2
 
0.2%
- 2
 
0.2%
( 2
 
0.2%
 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9276
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1191
12.8%
880
 
9.5%
e 826
 
8.9%
a 810
 
8.7%
o 534
 
5.8%
t 449
 
4.8%
b 436
 
4.7%
s 424
 
4.6%
n 385
 
4.2%
, 370
 
4.0%
Other values (35) 2971
32.0%
None
ValueCountFrequency (%)
 1
100.0%

othersports
Text

MISSING 

Distinct351
Distinct (%)81.4%
Missing43
Missing (%)9.1%
Memory size46.5 KiB
2023-12-09T22:30:18.204317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length97
Mean length49.74477958
Min length5

Characters and Unicode

Total characters21440
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)74.0%

Sample

1st rowBasketball, Flag Football, Softball, Volleyball
2nd rowAM Fitness Club, Basketball, Dance, Fencing, Volleyball
3rd rowBasketball, Fitness Club, Soccer
4th rowBasketball, Martial Arts, Track and Field
5th rowBasketball, Golf
ValueCountFrequency (%)
basketball 372
 
13.8%
soccer 182
 
6.8%
and 149
 
5.5%
track 147
 
5.5%
football 143
 
5.3%
volleyball 143
 
5.3%
flag 122
 
4.5%
field 117
 
4.4%
baseball 90
 
3.4%
girls 75
 
2.8%
Other values (242) 1146
42.7%
2023-12-09T22:30:18.699151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2563
 
12.0%
2255
 
10.5%
a 2117
 
9.9%
e 1688
 
7.9%
, 1234
 
5.8%
o 1019
 
4.8%
b 930
 
4.3%
s 927
 
4.3%
t 899
 
4.2%
r 755
 
3.5%
Other values (57) 7053
32.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15302
71.4%
Uppercase Letter 2520
 
11.8%
Space Separator 2255
 
10.5%
Other Punctuation 1288
 
6.0%
Close Punctuation 26
 
0.1%
Open Punctuation 26
 
0.1%
Dash Punctuation 18
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2563
16.7%
a 2117
13.8%
e 1688
11.0%
o 1019
 
6.7%
b 930
 
6.1%
s 927
 
6.1%
t 899
 
5.9%
r 755
 
4.9%
n 720
 
4.7%
c 688
 
4.5%
Other values (16) 2996
19.6%
Uppercase Letter
ValueCountFrequency (%)
B 553
21.9%
F 449
17.8%
S 350
13.9%
T 237
9.4%
C 190
 
7.5%
V 154
 
6.1%
D 102
 
4.0%
G 86
 
3.4%
R 66
 
2.6%
M 53
 
2.1%
Other values (14) 280
11.1%
Other Punctuation
ValueCountFrequency (%)
, 1234
95.8%
. 13
 
1.0%
& 12
 
0.9%
; 11
 
0.9%
: 10
 
0.8%
/ 7
 
0.5%
' 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
5 1
20.0%
6 1
20.0%
1 1
20.0%
4 1
20.0%
2 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
94.4%
1
 
5.6%
Space Separator
ValueCountFrequency (%)
2255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17822
83.1%
Common 3618
 
16.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2563
14.4%
a 2117
 
11.9%
e 1688
 
9.5%
o 1019
 
5.7%
b 930
 
5.2%
s 927
 
5.2%
t 899
 
5.0%
r 755
 
4.2%
n 720
 
4.0%
c 688
 
3.9%
Other values (40) 5516
31.0%
Common
ValueCountFrequency (%)
2255
62.3%
, 1234
34.1%
) 26
 
0.7%
( 26
 
0.7%
- 17
 
0.5%
. 13
 
0.4%
& 12
 
0.3%
; 11
 
0.3%
: 10
 
0.3%
/ 7
 
0.2%
Other values (7) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21439
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2563
 
12.0%
2255
 
10.5%
a 2117
 
9.9%
e 1688
 
7.9%
, 1234
 
5.8%
o 1019
 
4.8%
b 930
 
4.3%
s 927
 
4.3%
t 899
 
4.2%
r 755
 
3.5%
Other values (56) 7052
32.9%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct150
Distinct (%)31.8%
Missing3
Missing (%)0.6%
Memory size28.7 KiB
2023-12-09T22:30:19.148418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2355
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)9.1%

Sample

1st row10459
2nd row10030
3rd row10027
4th row10030
5th row10027
ValueCountFrequency (%)
10456 14
 
3.0%
10457 14
 
3.0%
11212 10
 
2.1%
10029 10
 
2.1%
10453 10
 
2.1%
10027 9
 
1.9%
11207 9
 
1.9%
11204 9
 
1.9%
10467 9
 
1.9%
10460 8
 
1.7%
Other values (140) 369
78.3%
2023-12-09T22:30:19.720232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 829
35.2%
0 431
18.3%
2 274
 
11.6%
4 215
 
9.1%
3 190
 
8.1%
5 123
 
5.2%
6 120
 
5.1%
7 81
 
3.4%
9 49
 
2.1%
8 43
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2355
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 829
35.2%
0 431
18.3%
2 274
 
11.6%
4 215
 
9.1%
3 190
 
8.1%
5 123
 
5.2%
6 120
 
5.1%
7 81
 
3.4%
9 49
 
2.1%
8 43
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 2355
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 829
35.2%
0 431
18.3%
2 274
 
11.6%
4 215
 
9.1%
3 190
 
8.1%
5 123
 
5.2%
6 120
 
5.1%
7 81
 
3.4%
9 49
 
2.1%
8 43
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 829
35.2%
0 431
18.3%
2 274
 
11.6%
4 215
 
9.1%
3 190
 
8.1%
5 123
 
5.2%
6 120
 
5.1%
7 81
 
3.4%
9 49
 
2.1%
8 43
 
1.8%
Distinct5
Distinct (%)1.1%
Missing3
Missing (%)0.6%
Memory size29.7 KiB
2023-12-09T22:30:19.909581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.038216561
Min length5

Characters and Unicode

Total characters3315
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBRONX
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
brooklyn 141
29.0%
bronx 117
24.1%
queens 105
21.6%
manhattan 93
19.1%
staten 15
 
3.1%
is 15
 
3.1%
2023-12-09T22:30:20.233702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 564
17.0%
O 399
12.0%
A 294
8.9%
B 258
 
7.8%
R 258
 
7.8%
E 225
 
6.8%
T 216
 
6.5%
K 141
 
4.3%
L 141
 
4.3%
Y 141
 
4.3%
Other values (8) 678
20.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3300
99.5%
Space Separator 15
 
0.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 564
17.1%
O 399
12.1%
A 294
8.9%
B 258
 
7.8%
R 258
 
7.8%
E 225
 
6.8%
T 216
 
6.5%
K 141
 
4.3%
L 141
 
4.3%
Y 141
 
4.3%
Other values (7) 663
20.1%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3300
99.5%
Common 15
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 564
17.1%
O 399
12.1%
A 294
8.9%
B 258
 
7.8%
R 258
 
7.8%
E 225
 
6.8%
T 216
 
6.5%
K 141
 
4.3%
L 141
 
4.3%
Y 141
 
4.3%
Other values (7) 663
20.1%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3315
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 564
17.0%
O 399
12.0%
A 294
8.9%
B 258
 
7.8%
R 258
 
7.8%
E 225
 
6.8%
T 216
 
6.5%
K 141
 
4.3%
L 141
 
4.3%
Y 141
 
4.3%
Other values (8) 678
20.5%
Distinct59
Distinct (%)12.5%
Missing3
Missing (%)0.6%
Memory size27.8 KiB
2023-12-09T22:30:20.532464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1413
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row202
2nd row110
3rd row109
4th row110
5th row109
ValueCountFrequency (%)
112 16
 
3.4%
305 16
 
3.4%
204 15
 
3.2%
316 15
 
3.2%
414 14
 
3.0%
206 14
 
3.0%
107 14
 
3.0%
412 14
 
3.0%
203 13
 
2.8%
111 13
 
2.8%
Other values (49) 327
69.4%
2023-12-09T22:30:20.957938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 350
24.8%
0 318
22.5%
3 197
13.9%
2 188
13.3%
4 155
11.0%
5 62
 
4.4%
7 42
 
3.0%
6 41
 
2.9%
8 35
 
2.5%
9 25
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1413
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 350
24.8%
0 318
22.5%
3 197
13.9%
2 188
13.3%
4 155
11.0%
5 62
 
4.4%
7 42
 
3.0%
6 41
 
2.9%
8 35
 
2.5%
9 25
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1413
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 350
24.8%
0 318
22.5%
3 197
13.9%
2 188
13.3%
4 155
11.0%
5 62
 
4.4%
7 42
 
3.0%
6 41
 
2.9%
8 35
 
2.5%
9 25
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1413
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 350
24.8%
0 318
22.5%
3 197
13.9%
2 188
13.3%
4 155
11.0%
5 62
 
4.4%
7 42
 
3.0%
6 41
 
2.9%
8 35
 
2.5%
9 25
 
1.8%
Distinct51
Distinct (%)10.8%
Missing3
Missing (%)0.6%
Memory size27.3 KiB
2023-12-09T22:30:21.234038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.821656051
Min length1

Characters and Unicode

Total characters858
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row17
2nd row9
3rd row9
4th row9
5th row9
ValueCountFrequency (%)
16 21
 
4.5%
17 20
 
4.2%
8 19
 
4.0%
42 16
 
3.4%
31 15
 
3.2%
14 15
 
3.2%
10 15
 
3.2%
37 14
 
3.0%
13 13
 
2.8%
15 13
 
2.8%
Other values (41) 310
65.8%
2023-12-09T22:30:21.617893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 191
22.3%
3 137
16.0%
4 131
15.3%
2 117
13.6%
7 63
 
7.3%
6 55
 
6.4%
8 49
 
5.7%
5 46
 
5.4%
0 36
 
4.2%
9 33
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 858
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 191
22.3%
3 137
16.0%
4 131
15.3%
2 117
13.6%
7 63
 
7.3%
6 55
 
6.4%
8 49
 
5.7%
5 46
 
5.4%
0 36
 
4.2%
9 33
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Common 858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 191
22.3%
3 137
16.0%
4 131
15.3%
2 117
13.6%
7 63
 
7.3%
6 55
 
6.4%
8 49
 
5.7%
5 46
 
5.4%
0 36
 
4.2%
9 33
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 191
22.3%
3 137
16.0%
4 131
15.3%
2 117
13.6%
7 63
 
7.3%
6 55
 
6.4%
8 49
 
5.7%
5 46
 
5.4%
0 36
 
4.2%
9 33
 
3.8%
Distinct335
Distinct (%)71.1%
Missing3
Missing (%)0.6%
Memory size27.9 KiB
2023-12-09T22:30:22.117093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.27388535
Min length1

Characters and Unicode

Total characters1542
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)49.0%

Sample

1st row159
2nd row22102
3rd row21703
4th row22102
5th row21303
ValueCountFrequency (%)
177 5
 
1.1%
330 5
 
1.1%
77 4
 
0.8%
69 4
 
0.8%
291 4
 
0.8%
73 4
 
0.8%
273 3
 
0.6%
170 3
 
0.6%
285 3
 
0.6%
293 3
 
0.6%
Other values (325) 433
91.9%
2023-12-09T22:30:22.745371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 253
16.4%
2 217
14.1%
0 180
11.7%
3 178
11.5%
4 148
9.6%
7 122
7.9%
9 121
7.8%
5 110
7.1%
8 109
7.1%
6 104
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1542
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 253
16.4%
2 217
14.1%
0 180
11.7%
3 178
11.5%
4 148
9.6%
7 122
7.9%
9 121
7.8%
5 110
7.1%
8 109
7.1%
6 104
6.7%

Most occurring scripts

ValueCountFrequency (%)
Common 1542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 253
16.4%
2 217
14.1%
0 180
11.7%
3 178
11.5%
4 148
9.6%
7 122
7.9%
9 121
7.8%
5 110
7.1%
8 109
7.1%
6 104
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 253
16.4%
2 217
14.1%
0 180
11.7%
3 178
11.5%
4 148
9.6%
7 122
7.9%
9 121
7.8%
5 110
7.1%
8 109
7.1%
6 104
6.7%

bin
Text

Distinct409
Distinct (%)86.8%
Missing3
Missing (%)0.6%
Memory size29.7 KiB
2023-12-09T22:30:23.167382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters3297
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)74.7%

Sample

1st row2005660
2nd row1060726
3rd row1059407
4th row1059460
5th row1059645
ValueCountFrequency (%)
2066190 3
 
0.6%
2051313 3
 
0.6%
2097111 3
 
0.6%
1032522 3
 
0.6%
4216655 3
 
0.6%
2004314 2
 
0.4%
2103869 2
 
0.4%
1063703 2
 
0.4%
2009611 2
 
0.4%
2087014 2
 
0.4%
Other values (399) 446
94.7%
2023-12-09T22:30:23.703190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 586
17.8%
1 425
12.9%
3 406
12.3%
4 382
11.6%
2 365
11.1%
8 243
7.4%
5 237
7.2%
6 218
 
6.6%
7 218
 
6.6%
9 217
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3297
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 586
17.8%
1 425
12.9%
3 406
12.3%
4 382
11.6%
2 365
11.1%
8 243
7.4%
5 237
7.2%
6 218
 
6.6%
7 218
 
6.6%
9 217
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
Common 3297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 586
17.8%
1 425
12.9%
3 406
12.3%
4 382
11.6%
2 365
11.1%
8 243
7.4%
5 237
7.2%
6 218
 
6.6%
7 218
 
6.6%
9 217
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 586
17.8%
1 425
12.9%
3 406
12.3%
4 382
11.6%
2 365
11.1%
8 243
7.4%
5 237
7.2%
6 218
 
6.6%
7 218
 
6.6%
9 217
 
6.6%

bbl
Text

Distinct405
Distinct (%)86.0%
Missing3
Missing (%)0.6%
Memory size31.0 KiB
2023-12-09T22:30:24.025961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters4710
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique344 ?
Unique (%)73.0%

Sample

1st row2027140004
2nd row1020420035
3rd row1019570010
4th row1019600001
5th row1019710001
ValueCountFrequency (%)
2044320001 3
 
0.6%
1012230005 3
 
0.6%
4101780001 3
 
0.6%
2049350001 3
 
0.6%
2024240001 3
 
0.6%
4157360001 2
 
0.4%
3051030010 2
 
0.4%
4051470001 2
 
0.4%
3015500001 2
 
0.4%
2057160725 2
 
0.4%
Other values (395) 446
94.7%
2023-12-09T22:30:24.461156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1819
38.6%
1 683
 
14.5%
2 449
 
9.5%
3 445
 
9.4%
4 365
 
7.7%
5 243
 
5.2%
6 207
 
4.4%
8 185
 
3.9%
7 161
 
3.4%
9 153
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4710
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1819
38.6%
1 683
 
14.5%
2 449
 
9.5%
3 445
 
9.4%
4 365
 
7.7%
5 243
 
5.2%
6 207
 
4.4%
8 185
 
3.9%
7 161
 
3.4%
9 153
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4710
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1819
38.6%
1 683
 
14.5%
2 449
 
9.5%
3 445
 
9.4%
4 365
 
7.7%
5 243
 
5.2%
6 207
 
4.4%
8 185
 
3.9%
7 161
 
3.4%
9 153
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1819
38.6%
1 683
 
14.5%
2 449
 
9.5%
3 445
 
9.4%
4 365
 
7.7%
5 243
 
5.2%
6 207
 
4.4%
8 185
 
3.9%
7 161
 
3.4%
9 153
 
3.2%

nta
Text

Distinct164
Distinct (%)34.8%
Missing3
Missing (%)0.6%
Memory size35.5 KiB
2023-12-09T22:30:24.748189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length39
Mean length19.68577495
Min length6

Characters and Unicode

Total characters9272
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)9.8%

Sample

1st rowHunts Point
2nd rowCentral Harlem North-Polo Grounds
3rd rowManhattanville
4th rowCentral Harlem North-Polo Grounds
5th rowManhattanville
ValueCountFrequency (%)
east 68
 
6.3%
heights 41
 
3.8%
park 38
 
3.5%
south 38
 
3.5%
north 33
 
3.1%
village 26
 
2.4%
harlem 22
 
2.0%
west 21
 
1.9%
side 19
 
1.8%
hill 18
 
1.7%
Other values (224) 754
69.9%
2023-12-09T22:30:25.192776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 802
 
8.6%
a 674
 
7.3%
o 622
 
6.7%
r 617
 
6.7%
607
 
6.5%
t 603
 
6.5%
n 530
 
5.7%
s 498
 
5.4%
l 476
 
5.1%
i 456
 
4.9%
Other values (45) 3387
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7032
75.8%
Uppercase Letter 1356
 
14.6%
Space Separator 607
 
6.5%
Dash Punctuation 264
 
2.8%
Other Punctuation 7
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 802
11.4%
a 674
9.6%
o 622
8.8%
r 617
8.8%
t 603
8.6%
n 530
 
7.5%
s 498
 
7.1%
l 476
 
6.8%
i 456
 
6.5%
h 288
 
4.1%
Other values (15) 1466
20.8%
Uppercase Letter
ValueCountFrequency (%)
H 188
13.9%
B 141
10.4%
S 132
9.7%
C 122
 
9.0%
P 98
 
7.2%
E 93
 
6.9%
M 88
 
6.5%
N 64
 
4.7%
W 55
 
4.1%
G 49
 
3.6%
Other values (14) 326
24.0%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
' 2
 
28.6%
Space Separator
ValueCountFrequency (%)
607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8388
90.5%
Common 884
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 802
 
9.6%
a 674
 
8.0%
o 622
 
7.4%
r 617
 
7.4%
t 603
 
7.2%
n 530
 
6.3%
s 498
 
5.9%
l 476
 
5.7%
i 456
 
5.4%
h 288
 
3.4%
Other values (39) 2822
33.6%
Common
ValueCountFrequency (%)
607
68.7%
- 264
29.9%
. 5
 
0.6%
( 3
 
0.3%
) 3
 
0.3%
' 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 802
 
8.6%
a 674
 
7.3%
o 622
 
6.7%
r 617
 
6.7%
607
 
6.5%
t 603
 
6.5%
n 530
 
5.7%
s 498
 
5.4%
l 476
 
5.1%
i 456
 
4.9%
Other values (45) 3387
36.5%
Distinct410
Distinct (%)87.0%
Missing3
Missing (%)0.6%
Memory size31.0 KiB
2023-12-09T22:30:25.573090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.885350318
Min length7

Characters and Unicode

Total characters4656
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)75.2%

Sample

1st row-73.893902
2nd row-73.944433
3rd row-73.951912
4th row-73.947712
5th row-73.953041
ValueCountFrequency (%)
73.970802 3
 
0.6%
73.914374 3
 
0.6%
73.787192 3
 
0.6%
73.864577 3
 
0.6%
73.840524 3
 
0.6%
73.981528 2
 
0.4%
73.930948 2
 
0.4%
73.930709 2
 
0.4%
73.916077 2
 
0.4%
73.790083 2
 
0.4%
Other values (400) 446
94.7%
2023-12-09T22:30:26.081371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 782
16.8%
3 656
14.1%
9 490
10.5%
- 471
10.1%
. 471
10.1%
8 364
7.8%
1 266
 
5.7%
4 257
 
5.5%
2 229
 
4.9%
5 229
 
4.9%
Other values (2) 441
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3714
79.8%
Dash Punctuation 471
 
10.1%
Other Punctuation 471
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 782
21.1%
3 656
17.7%
9 490
13.2%
8 364
9.8%
1 266
 
7.2%
4 257
 
6.9%
2 229
 
6.2%
5 229
 
6.2%
6 221
 
6.0%
0 220
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 471
100.0%
Other Punctuation
ValueCountFrequency (%)
. 471
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 782
16.8%
3 656
14.1%
9 490
10.5%
- 471
10.1%
. 471
10.1%
8 364
7.8%
1 266
 
5.7%
4 257
 
5.5%
2 229
 
4.9%
5 229
 
4.9%
Other values (2) 441
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 782
16.8%
3 656
14.1%
9 490
10.5%
- 471
10.1%
. 471
10.1%
8 364
7.8%
1 266
 
5.7%
4 257
 
5.5%
2 229
 
4.9%
5 229
 
4.9%
Other values (2) 441
9.5%
Distinct410
Distinct (%)87.0%
Missing3
Missing (%)0.6%
Memory size30.5 KiB
2023-12-09T22:30:26.394515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.861995754
Min length7

Characters and Unicode

Total characters4174
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)75.2%

Sample

1st row40.822443
2nd row40.819767
3rd row40.814637
4th row40.817372
5th row40.81755
ValueCountFrequency (%)
40.791709 3
 
0.6%
40.862109 3
 
0.6%
40.827941 3
 
0.6%
40.69719 3
 
0.6%
40.884953 3
 
0.6%
40.675771 2
 
0.4%
40.848908 2
 
0.4%
40.634875 2
 
0.4%
40.822443 2
 
0.4%
40.839565 2
 
0.4%
Other values (400) 446
94.7%
2023-12-09T22:30:26.834659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 711
17.0%
0 662
15.9%
. 471
11.3%
8 387
9.3%
6 382
9.2%
7 374
9.0%
5 286
6.9%
3 236
 
5.7%
9 227
 
5.4%
2 227
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3703
88.7%
Other Punctuation 471
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 711
19.2%
0 662
17.9%
8 387
10.5%
6 382
10.3%
7 374
10.1%
5 286
7.7%
3 236
 
6.4%
9 227
 
6.1%
2 227
 
6.1%
1 211
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 471
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4174
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 711
17.0%
0 662
15.9%
. 471
11.3%
8 387
9.3%
6 382
9.2%
7 374
9.0%
5 286
6.9%
3 236
 
5.7%
9 227
 
5.4%
2 227
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4174
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 711
17.0%
0 662
15.9%
. 471
11.3%
8 387
9.3%
6 382
9.2%
7 374
9.0%
5 286
6.9%
3 236
 
5.7%
9 227
 
5.4%
2 227
 
5.4%